{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Modelagem por tópicos notícias ANTT"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Tópicos disponível em: https://github.com/fabsfernandes/regulatory-agencies/blob/master/ANTT/option4/antt-option4-topics.csv\n",
    "##### Thetas disponível em: https://github.com/fabsfernandes/regulatory-agencies/blob/master/ANTT/option4/antt-option4-thetas.csv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Opção 4: 30 tópicos, algoritmo LDA, API Mallet, alpha 0.001"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Importando pacotes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Enable logging and ignore warnings\n",
    "import logging\n",
    "logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.ERROR)\n",
    "import warnings\n",
    "#warnings.filterwarnings(\"ignore\")\n",
    "warnings.filterwarnings(\"ignore\",category=DeprecationWarning)\n",
    "\n",
    "\n",
    "import nltk; \n",
    "#nltk.download('stopwords')\n",
    "\n",
    "import re\n",
    "warnings.filterwarnings(\"ignore\",category=DeprecationWarning)\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from pprint import pprint\n",
    "\n",
    "# Gensim\n",
    "import gensim\n",
    "import gensim.corpora as corpora\n",
    "from gensim.utils import simple_preprocess\n",
    "from gensim.models import CoherenceModel\n",
    "from gensim.models import Phrases\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "# Plotting tools\n",
    "import pyLDAvis\n",
    "import pyLDAvis.gensim\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Load dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>website</th>\n",
       "      <th>url</th>\n",
       "      <th>publication_date</th>\n",
       "      <th>title</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3113</th>\n",
       "      <td>5386433</td>\n",
       "      <td>ANTT</td>\n",
       "      <td>http://www.antt.gov.br/salaImprensa/noticias/a...</td>\n",
       "      <td>2018-06-29T10:26:00-03:06</td>\n",
       "      <td>Canal ANTT: saiba as regras para crianças via...</td>\n",
       "      <td>Na produção de junho, o Canal ANTT aproveita ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3114</th>\n",
       "      <td>5386432</td>\n",
       "      <td>ANTT</td>\n",
       "      <td>http://www.antt.gov.br/salaImprensa/noticias/a...</td>\n",
       "      <td>2018-06-29T17:04:00-03:06</td>\n",
       "      <td>ANTT divulga balanço da Operação Muralha</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3115</th>\n",
       "      <td>5393711</td>\n",
       "      <td>ANTT</td>\n",
       "      <td>http://www.antt.gov.br/salaImprensa/noticias/a...</td>\n",
       "      <td>2018-07-03T08:35:00-03:06</td>\n",
       "      <td>ANTT publica edital de concessão da RIS</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           id website                                                url  \\\n",
       "3113  5386433    ANTT  http://www.antt.gov.br/salaImprensa/noticias/a...   \n",
       "3114  5386432    ANTT  http://www.antt.gov.br/salaImprensa/noticias/a...   \n",
       "3115  5393711    ANTT  http://www.antt.gov.br/salaImprensa/noticias/a...   \n",
       "\n",
       "               publication_date  \\\n",
       "3113  2018-06-29T10:26:00-03:06   \n",
       "3114  2018-06-29T17:04:00-03:06   \n",
       "3115  2018-07-03T08:35:00-03:06   \n",
       "\n",
       "                                                  title  \\\n",
       "3113   Canal ANTT: saiba as regras para crianças via...   \n",
       "3114           ANTT divulga balanço da Operação Muralha   \n",
       "3115            ANTT publica edital de concessão da RIS   \n",
       "\n",
       "                                                   text  \n",
       "3113   Na produção de junho, o Canal ANTT aproveita ...  \n",
       "3114   A Agência Nacional de Transportes Terrestres ...  \n",
       "3115   A Agência Nacional de Transportes Terrestres ...  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('/Users/fabiola/Desktop/FGV/ANTT/antt_export_final_order.csv')\n",
    "df.tail(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "### No total de notícias: 3116\n"
     ]
    }
   ],
   "source": [
    "print('### No total de notícias:', len(df))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### NLP Pipeline - Pré-processamento e limpeza dos documentos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# NLTK Stop words\n",
    "from nltk.corpus import stopwords\n",
    "stop_words = stopwords.words('portuguese')\n",
    "stop_words.extend([\n",
    "    'ser','sao','sera','serao','serem','ha', 'sendo',\n",
    "    'esta','estao','estara','estar','terao','ter','tera','pode','podem','deve','devem','devera','deverao','podera','vai',\n",
    "    'nesta','neste','desse','nesse','deste','destes','desses','nesses','desta','nessa','dessa',\n",
    "    'cada','todo','todos','toda','todas','qualquer','outros','outro','outras','outra','quanto','alguns','algum','mesma','mesmo','tais','quais',\n",
    "    'nº','nº','ii','iii',\n",
    "    'nao','ja','tambem','porque','ainda','apenas',\n",
    "    'sobre','ate','durante','alem','desde','sob','apos','contra','onde',\n",
    "    'getdata','var','function','return','tostring','window','clique_aqui','feira','ml',\n",
    "    'en','la','los',\n",
    "    'antt'\n",
    "    ])\n",
    "\n",
    "# Convert to list\n",
    "data = df['text'].values.tolist()\n",
    "\n",
    "data = [sent if not pd.isnull(sent) else '' for sent in data]\n",
    "#data = [sent for sent if not pd.isnull(sent) else '-' for sent in data ]\n",
    "\n",
    "# Remove Emails\n",
    "data = [re.sub('\\S*@\\S*\\s?', '', sent) for sent in data if not pd.isnull(sent)]\n",
    "\n",
    "# Remove new line characters\n",
    "data = [re.sub('\\s+', ' ', sent) for sent in data]\n",
    "\n",
    "# Remove distracting single quotes\n",
    "data = [re.sub(\"\\'\", \"\", sent) for sent in data]\n",
    "\n",
    "\n",
    "# Convert to words (tokenize)\n",
    "def sent_to_words(sentences):\n",
    "    for sentence in sentences:\n",
    "        yield(gensim.utils.simple_preprocess(str(sentence), deacc=True))  # deacc=True removes punctuations\n",
    "\n",
    "data_words = list(sent_to_words(data))\n",
    "\n",
    "\n",
    "# Build bigram and trigram models\n",
    "bigram = gensim.models.Phrases(data_words, min_count=5, threshold=100)\n",
    "trigram = gensim.models.Phrases(bigram[data_words], threshold=100)  \n",
    "bigram_mod = gensim.models.phrases.Phraser(bigram)\n",
    "trigram_mod = gensim.models.phrases.Phraser(trigram)\n",
    "\n",
    "\n",
    "# Define functions for stopwords, bigrams, trigrams\n",
    "def remove_stopwords(texts):\n",
    "    return [[word for word in simple_preprocess(str(doc)) if word not in stop_words] for doc in texts]\n",
    "\n",
    "def make_bigrams(texts):\n",
    "    return [bigram_mod[doc] for doc in texts]\n",
    "\n",
    "def make_trigrams(texts):\n",
    "    return [trigram_mod[bigram_mod[doc]] for doc in texts]\n",
    "\n",
    "# Remove Stop Words\n",
    "data_words_nostops = remove_stopwords(data_words)\n",
    "\n",
    "# Form Bigrams\n",
    "data_words_trigrams = make_trigrams(data_words_nostops)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Criação do dicionário e corpus"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "### No total de palavras diferentes: 8242\n",
      "### No total de palavras: 375706\n"
     ]
    }
   ],
   "source": [
    "# Create Dictionary\n",
    "id2word = corpora.Dictionary(data_words_trigrams)\n",
    "\n",
    "# filter by frequency\n",
    "id2word.filter_extremes(no_below=5, no_above=0.95)\n",
    "\n",
    "# Create Corpus\n",
    "texts = data_words_trigrams\n",
    "\n",
    "# Term Document Frequency\n",
    "corpus = [id2word.doc2bow(text) for text in texts]\n",
    "\n",
    "# Human readable format of corpus (term-frequency)\n",
    "## [[(id2word[id], freq) for id, freq in cp] for cp in corpus[:100]]\n",
    "\n",
    "print('### No total de palavras diferentes:', len(id2word))\n",
    "\n",
    "total = 0\n",
    "for cp in corpus:\n",
    "    for id, freq in cp:\n",
    "        total += freq\n",
    "print('### No total de palavras:', total)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Criando o modelo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_topics = 30"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "mallet_path = '/Users/fabiola/Downloads/mallet-2.0.8/bin/mallet'\n",
    "ldamallet = gensim.models.wrappers.LdaMallet(mallet_path, corpus=corpus, \n",
    "                                             num_topics=num_topics, \n",
    "                                             alpha=0.001,\n",
    "                                             iterations=1500, \n",
    "                                             topic_threshold=0.6,\n",
    "                                             id2word=id2word) \n",
    "\n",
    "ldamallet.save('antt-option4-ldamalletmodel')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Visualizando os resultados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
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\"jose_antonio_schmitt\", \"caminhoneiros\", \"civil\", \"competencia\", \"carga\", \"infracao\", \"excesso\", \"onibus\", \"lei\", \"pagamento\", \"peso\", \"interestadual_internacional\", \"empresas\", \"transporte\", \"passageiros\", \"veiculos\", \"operacao\", \"agencia\", \"linhas\", \"pedagio\", \"rodoviario\", \"nacional\", \"transportes\", \"feita\", \"cargas\", \"terrestres\", \"seguranca\", \"policia_rodoviaria_federal\", \"veiculo\", \"tipo\", \"servicos\", \"usuarios\", \"rodovias\", \"sul\", \"servico\", \"estado\", \"rio\", \"dia\", \"gt\", \"experiencias\", \"membros\", \"conselho_consultivo\", \"pantanal\", \"satisfacao\", \"metodologia\", \"representantes\", \"grupo\", \"missao\", \"universidades\", \"seminario\", \"brasil_uniao_europeia\", \"encontro\", \"futuras_concessoes_resultantes\", \"oportunidade\", \"escopo\", \"secretaria_executiva\", \"agricultura\", \"oliveira\", \"campo_grande\", \"desafios\", \"marcos\", \"wacc\", \"brasilia_anapolis_goiania\", \"participantes\", \"chefe\", \"corumba\", \"discussoes\", \"aspectos\", \"portaria\", \"discutir\", \"implementacao\", \"associacao\", \"especialistas\", \"integracao\", \"entidades\", \"desenvolvimento\", \"reuniao\", \"temas\", \"relatorio\", \"ministerio\", \"multimodal\", \"evento\", \"ferrovias\", \"setor\", \"contou\", \"transportes\", \"transporte\", \"ferroviario\", \"trabalho\", \"diretor_geral\", \"nacional\", \"agencia\", \"superintendente\", \"brasil\", \"concessionarias\", \"passageiros\", \"cargas\", \"terrestres\", \"participacao\", \"projetos\", \"governo\", \"objetivo\", \"estudos\", \"projeto\", \"pais\", \"infraestrutura\", \"servicos\", \"linha_vermelha\", \"niteroi\", \"avenida_portuaria\", \"kg\", \"excesso\", \"operacao_manutencao_monitoracao\", \"autuacao\", \"balancas\", \"continente_americano\", \"americas\", \"peso\", \"guanabara\", \"ponte\", \"vao_central\", \"priorizou\", \"auto\", \"governamental\", \"vida_util\", \"dilatacao\", \"implantada\", \"extensa_sinalizacao\", \"presidente_dutra_utilizem_avenida\", \"fez_parte\", \"avenida\", \"equivale\", \"notificacao\", \"alca\", \"presidente_costa_silva\", \"avenida_feliciano_sodre\", \"praca_renascenca\", \"guaiba\", \"concreto\", \"metros\", \"obra\", \"pelotas\", \"concessoes_rodoviarias\", \"rio\", \"pavimento\", \"rj\", \"infraestrutura\", \"melhor\", \"janeiro\", \"acesso\", \"transito\", \"quilometros\", \"br\", \"exploracao\", \"trecho\", \"trafego\", \"concedida\", \"sistema\", \"maior\", \"primeira\", \"etapa\", \"concessao\", \"rodovia\", \"agencia\", \"obras\", \"objetivo\", \"transportes\", \"projeto\", \"terrestres\", \"veiculos\", \"sentido\", \"servicos\", \"programa\", \"transporte\", \"igarapava\", \"aden\", \"fuga\", \"equipes_volantes\", \"apreendidos\", \"lavrados_autos\", \"rotas\", \"inteligencia\", \"beneficiou_cerca\", \"clandestino\", \"combater\", \"emprego\", \"patios_credenciados\", \"apreensoes\", \"seguissem_viagem\", \"somalia\", \"onibus_regularizados\", \"observou\", \"realizado_transbordo\", \"interceptados\", \"viajavam_desamparados\", \"barretos\", \"realizavam\", \"policia_civil\", \"fiscalizados_autos\", \"ursp_basilio_militani_neto\", \"van\", \"brasilia_df_carregava\", \"causa_tantos\", \"fazia_escolta\", \"integrada\", \"destino\", \"infratores\", \"agentes\", \"veiculos\", \"operacao\", \"fiscalizacao\", \"ocorreu\", \"fiscalizados\", \"paulo\", \"transporte\", \"sp\", \"realizou\", \"passageiros\", \"infracao\", \"estado\", \"seguranca\", \"acao\", \"regiao\", \"onibus\", \"veiculo\", \"agencia\", \"dias\", \"acoes\", \"segunda\", \"nacional\", \"transportes\", \"motoristas\", \"terrestres\", \"direcao_niteroi_regiao\", \"lagos\", \"piabeta\", \"fornecendo_informacoes\", \"pede\", \"condicoes_gerais\", \"utilizem_dinheiro_trocado\", \"tres_corregos\", \"servico_teleponte_funciona\", \"agilizam_cobranca\", \"trafeguem\", \"papa_filas_arrecadadores_volantes\", \"teresopolis\", \"plantao\", \"maior_movimento\", \"teresopolis_crt_administradora\", \"disponibiliza_imagens\", \"baixada_fluminense_area_densamente\", \"povoada\", \"atendimento_medico_mecanico\", \"respeitem\", \"quatro_reversiveis_atendendo\", \"telefones_sanitarios\", \"ciclistas_pedestres\", \"recebendo_solicitacao\", \"verifiquem\", \"cabines_convencionais\", \"efetivo_operacional\", \"eixos_motocicletas_pagam\", \"movimento_tende\", \"pedagios\", \"alerta\", \"prontidao\", \"ponte\", \"paraiba\", \"crt\", \"sabado\", \"esquema_especial\", \"domingo\", \"fluxo\", \"veiculos\", \"rio\", \"trafego\", \"motoristas\", \"feriado\", \"concessionaria\", \"sexta\", \"rodovia\", \"horarios\", \"mil\", \"previsao\", \"km\", \"quarta\", \"usuarios\", \"niteroi\", \"pedagio\", \"numero\", \"horas\", \"pracas\", \"dia\", \"br\", \"obras\", \"periodo\", \"rj\", \"esquerda_direita\", \"acostamentos\", \"esquerda\", \"pico\", \"direita_acostamento\", \"interdicao\", \"emergencia_dispostos\", \"dois_sentidos\", \"sos_usuario\", \"pico_saida\", \"marginal\", \"hora_volta\", \"aruja\", \"faixa\", \"direita\", \"ambos\", \"interditada\", \"sentidos\", \"bases_operacionais\", \"hora\", \"efetivo_disposicao\", \"viaturas\", \"novadutra\", \"forma_atender_rapidamente\", \"disque_novadutra\", \"fluminense\", \"informam\", \"pista_expressa\", \"trevo\", \"itatiaia\", \"sentido\", \"faixas\", \"via_dutra\", \"previsao\", \"km\", \"trafego\", \"sp\", \"feriado\", \"sabado\", \"rodovia\", \"rio\", \"pista\", \"veiculos\", \"obras\", \"fluxo\", \"concessionaria\", \"motoristas\", \"rj\", \"mil\", \"sexta\", \"dia\", \"paulo\", \"usuarios\", \"janeiro\", \"horas\", \"condicoes\", \"br\", \"nascimento_marcelo_bruto\", \"senado\", \"marcelo_bruto\", \"unb\", \"mandato\", \"assis_lobo\", \"plenario\", \"costa_correia\", \"carlos_fernando\", \"diretores\", \"posse\", \"diretor_interino\", \"pos_graduacao\", \"iniciou_carreira\", \"pos_graduado\", \"graduado\", \"rodoviario_ferroviario_fluvial\", \"cargo\", \"costa_correia_servidor\", \"pernambuco_ufpe_bacharel\", \"rj_atualmente_mestrando\", \"sabatina\", \"costa_correia_marcelo_vinaud\", \"prado_sergio\", \"informacao_orcamento_institucional\", \"assis_lobo_engenheiro_civil\", \"integrou_assessoria\", \"carreira\", \"lobo\", \"nascimento_advogado_formado\", \"universidade\", \"sergio\", \"administracao\", \"especialista\", \"diretoria\", \"diretor\", \"jorge_bastos\", \"regulacao\", \"agencia\", \"transportes\", \"quadro\", \"engenharia\", \"federal\", \"terrestres\", \"representantes\", \"tecnologia\", \"servicos\", \"nacional\", \"diretor_geral\", \"anos\", \"programa\", \"dia\", \"empresa\", \"periodo\", \"argentina\", \"licenca_originaria\", \"paraguai\", \"assuntos\", \"noboru_ofugi\", \"mercosul\", \"chile\", \"licenca_complementar\", \"reuniao_bilateral_brasil\", \"foz\", \"internacional_terrestre_atit\", \"abcr\", \"fiscalizacoes\", \"combate\", \"emitidos_autos\", \"guarai_to\", \"acontecem_rotineiramente\", \"acailandia_ma_porto\", \"terrestre\", \"clandestino\", \"iguacu_pr\", \"paises\", \"acordos_internacionais\", \"camboriu\", \"irregulares_bem\", \"temporada_turistica\", \"legislacao_vigente\", \"inibir\", \"regras_estabelecidas\", \"produtos_perigosos\", \"internacional\", \"legislacao\", \"fiscalizacao\", \"irregular\", \"transporte\", \"reuniao\", \"passageiros\", \"cargas\", \"policia_rodoviaria_federal\", \"brasil\", \"onibus\", \"transportes\", \"rodoviario\", \"agencia\", \"operacao\", \"terrestres\", \"empresas\", \"nacional\", \"carga\", \"veiculos\", \"servicos\", \"acao\", \"realizada\", \"pais\", \"resolucao\", \"acordo\", \"objetivo\", \"dias\", \"br\", \"seguranca\", \"cep\", \"horario\", \"auditorio\", \"esclarecimentos_adicionais\", \"obter_subsidios\", \"aprimoramento\", \"audiencia_publica\", \"sessao_presencial\", \"minuta\", \"contribuicoes\", \"atendem\", \"atas\", \"enviadas\", \"sces\", \"www_tavbrasil_gov\", \"esclarecimento\", \"sessoes_publicas\", \"minutas\", \"obtidos\", \"edificio_sede\", \"esclarecimentos\", \"escrito\", \"clubes_esportivos_sul\", \"audiencia\", \"manifestacoes_orais\", \"http_www_tavbrasil_gov\", \"propass_brasil\", \"sessao\", \"endereco_av\", \"sala\", \"envio\", \"brasilia\", \"abre\", \"interessados\", \"mail\", \"gov\", \"site\", \"data\", \"edital\", \"endereco\", \"campinas\", \"disponiveis\", \"dia\", \"proposta\", \"localizado\", \"df\", \"centro\", \"sugestoes\", \"resolucao\", \"janeiro\", \"servico\", \"local\", \"informacoes\", \"agencia\", \"nacional\", \"sp\", \"paulo\", \"terrestres\", \"transporte\", \"passageiros\", \"trecho\", \"transportes\", \"objetivo\", \"concessao\", \"br\", \"rio\", \"meio\", \"rodoviario\", \"goytacazes\", \"rondonopolis\", \"espirito_santo\", \"app\", \"ecorodovias\", \"versao_tamanho_mb_compatibilidade\", \"lamina\", \"entroncamento\", \"jatai\", \"sinop\", \"vila_velha_es\", \"cuiaba\", \"vitoria_es\", \"cdl\", \"uberlandia\", \"subsidios\", \"rondonopolis_cuiaba\", \"kennedy_mimoso\", \"viagem_assim_calcular\", \"clima_pontos\", \"poderao_planejar\", \"ostras_casimiro\", \"macacu_itaborai_guapimirim_mage\", \"gabriel\", \"abreu_silva_jardim\", \"leopoldina_cariacica_viana_guarapari\", \"vila_velha_santa\", \"mt_pa\", \"anchieta_iconha\", \"balancas_bases\", \"simao\", \"mt\", \"tomada\", \"curitiba\", \"aplicativo\", \"trecho\", \"km\", \"melhorias\", \"sul\", \"interditado\", \"oeste\", \"exploracao\", \"mato_grosso\", \"br\", \"rio\", \"quilometros\", \"ms\", \"extensao\", \"concessao\", \"estados\", \"infraestrutura\", \"rodovia\", \"rs\", \"programa\", \"janeiro\", \"contribuicoes\", \"concessionaria\", \"ferrovia\", \"estudos\", \"servico\", \"informacoes\", \"df\", \"brasilia\", \"obras\", \"agencia\", \"rj\", \"transportes\", \"implantacao\", \"objetivo\", \"terrestres\", \"nacional\", \"concessoes_rodoviarias_ascom\", \"usuario_sau\", \"pontos_estrategicos\", \"ouvidoria_emergencia\", \"ambulancias_guinchos\", \"anos_licitacao_fez\", \"colaboradores\", \"socorro_mecanico\", \"terrestre_inclusive_contratos\", \"regula_fiscaliza_exploracao\", \"viabahia\", \"atendimento_pre_hospitalar\", \"papa_fila\", \"sau\", \"pascoa\", \"partes_equilibrio_economico_financeiro\", \"atendimento\", \"celebrados_antes\", \"guinchos_pesados\", \"criacao_resguardando\", \"mortes\", \"vitimas\", \"respectivos_acordos\", \"guinchos_leves\", \"reversivel\", \"movimento\", \"ccr_msvia\", \"regras_orientacoes\", \"ambulancia\", \"feriado\", \"reforco\", \"viaturas\", \"usuario\", \"criada\", \"equipes\", \"direitos\", \"rodovias_federais_concedidas\", \"inspecao\", \"acidentes\", \"br\", \"periodo\", \"concessionaria\", \"iniciativa_privada\", \"usuarios\", \"concedida\", \"concessionarias\", \"rj\", \"infraestrutura\", \"rodovia\", \"trafego\", \"numero\", \"veiculos\", \"seguranca\", \"quilometros\", \"operacao\", \"servicos\", \"sp\", \"informacoes\", \"trecho\", \"parte\", \"agencia\", \"nacional\", \"terrestres\", \"rodovias\", \"transportes\", \"dia\", \"concessao\", \"objetivo\", \"rntrc\", \"monitriip\", \"recadastramento\", \"transportadores_rodoviarios\", \"registro\", \"identificacao_eletronica\", \"transportador\", \"cooperativas\", \"certificado\", \"transportadores_autonomos\", \"inscricao\", \"portal_monitriip\", \"transportadores\", \"cadastrados\", \"tag\", \"tarifas_praticadas_cumprimento\", \"monitoramento\", \"atividade\", \"transportadoras\", \"grande_avanco\", \"otimizando_recursos_humanos_financeiros\", \"iniciativa_representa\", \"eficiente_execucao\", \"adesivo\", \"pois_permitira_acompanhar\", \"aperfeicoar_acao_fiscalizatoria\", \"cadastro\", \"dados\", \"fornecedores\", \"transportador_autonomo\", \"ntc\", \"frota\", \"cargas\", \"dispositivo\", \"rodoviario\", \"carga\", \"habilitacao\", \"transporte\", \"resolucao\", \"veiculos\", \"procedimentos\", \"empresas\", \"nacional\", \"veiculo\", \"agencia\", \"servicos\", \"passageiros\", \"fiscalizacao\", \"informacoes\", \"sistema\", \"implantacao\", \"transportes\", \"terrestres\", \"prazo\", \"autorizacao\", \"programa_estrada_sustentavel\", \"saude\", \"cinto\", \"habito\", \"fiscalizados_autos_lavrados\", \"exames\", \"vou\", \"desenvolvimento_sustentavel\", \"terceiro_setor\", \"setor_academico_governos_orgao\", \"posto_sakamoto\", \"nacoes_unidas\", \"conferencia\", \"interagem\", \"diversos_publicos\", \"vacinacao\", \"banco_traseiro\", \"pressao_arterial\", \"salvar_vidas\", \"desafio\", \"utilizar_cinto_equipamento\", \"seguranca_viaria_educacao_mobilidade\", \"campanha_vou\", \"sest_senat\", \"abordagem\", \"ipem\", \"guarulhos\", \"equipamento\", \"reunir\", \"posto\", \"acao\", \"ccr_novadutra\", \"campanha\", \"presidente_dutra\", \"importancia\", \"caminhoneiro\", \"novadutra\", \"via_dutra\", \"sp\", \"motoristas\", \"parceria\", \"frente\", \"seguranca\", \"policia_rodoviaria_federal\", \"programa\", \"uso\", \"rodovia\", \"veiculos\", \"rio\", \"fiscalizacao\", \"rj\", \"onibus\", \"concessionaria\", \"passageiros\", \"km\", \"acoes\", \"sentido\", \"objetivo\", \"transporte\", \"nacional\", \"br\", \"transportes\", \"empresas\", \"reajuste_tarifario\", \"reajuste\", \"revisao_extraordinaria\", \"revisoes\", \"nova_lima\", \"taxa_interna\", \"lagoa_grande_mg\", \"fipe_ntc\", \"curvelo\", \"reajustes\", \"mg_felixlandia_mg\", \"joao_pinheiro_mg_canoeiras\", \"tbp\", \"apurado\", \"cristalina_go_paracatu_mg\", \"variacao\", \"revisao_ordinaria\", \"reboque_caminhao_trator\", \"cobranca_bidirecional\", \"arredondamento\", \"corresponde\", \"tarifa_basica\", \"cobrado\", \"efeitos_financeiros\", \"semi_reboque_dupla\", \"percentual\", \"distancias\", \"reavaliacao\", \"existir_explicou_erico_guzen\", \"caminhao_trator\", \"praca\", \"novos_valores\", \"pedagio\", \"tarifa\", \"pracas\", \"mg\", \"valores\", \"autorizou\", \"indice\", \"semi_reboque\", \"tarifas\", \"caminhao\", \"categoria\", \"valor\", \"zero_hora\", \"contrato\", \"juiz\", \"br\", \"df\", \"veiculo\", \"quilometros\", \"trecho\", \"concessao\", \"concessionaria\", \"cobranca\", \"resolucao\", \"agencia\", \"nacional\", \"km\", \"terrestres\", \"partir\", \"dia\", \"transportes\", \"rodovia\", \"sp\", \"planaltina\", \"ressarcimento\", \"figueiredo\", \"canal_verde_brasil\", \"otm\", \"acionistas\", \"carta_frete\", \"expresso\", \"ferroban\", \"trafego_mutuo_direito\", \"fluxos\", \"investidores\", \"idade_media\", \"sim\", \"resulta\", \"bernardo_figueiredo\", \"referencia\", \"adequada\", \"interestadual_semiurbano\", \"operador\", \"operar\", \"dependencia\", \"quotas\", \"automatica\", \"licitacao\", \"parametros\", \"menor\", \"cidade_ocidental\", \"decorrentes\", \"define\", \"infra_estrutura\", \"oferta\", \"mercado\", \"custos\", \"modelo\", \"sistema\", \"goias\", \"empresas\", \"transporte\", \"ferrovias\", \"linhas\", \"empresa\", \"ferroviario\", \"forma\", \"setor\", \"valor\", \"servicos\", \"prazo\", \"servico\", \"processo\", \"df\", \"meio\", \"transportes\", \"nacional\", \"agencia\", \"passageiros\", \"operacao\", \"anos\", \"novo\", \"rodoviario\", \"ano\", \"brasil\", \"terrestres\", \"resolucao\", \"liminar\", \"belem_pa\", \"prestarao_disciplinar\", \"dourados_ms\", \"esclarecimentos_adicionais_poderao\", \"correspondencia_eletronica\", \"procuradoria_geral\", \"scf\", \"desembargador\", \"tribunal_regional\", \"via_postal_protocoladas\", \"devidamente_identificadas\", \"itaituba_pa\", \"colher_subsidios\", \"ferrograo\", \"estudos_preliminares\", \"modulos\", \"procuradoria\", \"informacoes_especificas\", \"uruguai\", \"eletronico_pessoalmente\", \"forma_concisa_objetiva\", \"ed_sede\", \"agu\", \"idoso\", \"endereco\", \"idioma_portugues\", \"consulta\", \"frotas\", \"vara\", \"html\", \"envio\", \"sessao_publica\", \"http_www\", \"contribuicoes\", \"horario\", \"aprimoramento\", \"gov\", \"brasilia\", \"cep\", \"clubes_esportivos_sul\", \"paraguai\", \"audiencia\", \"pagina\", \"df\", \"audiencia_publica\", \"dia\", \"data\", \"interessados\", \"agencia\", \"informacoes\", \"terrestres\", \"controle\", \"horas\", \"internacional\", \"transportes\", \"nacional\", \"meio\", \"transporte\", \"federal\", \"internet\", \"segunda\", \"br\", \"trecho\", \"rs\", \"passageiros\", \"objetivo\", \"concessao\", \"resolucao\", \"ltda\", \"turismo_ltda\", \"porto_alegre\", \"gravatai_totalizando_aproximadamente\", \"etapas_primeira\", \"sinalizacao_rediagramacao\", \"medio_porte_iniciativa\", \"taguatur_taguatinga\", \"areia_remocao\", \"guaiba_porto_alegre\", \"implantacao_contem_duas\", \"incluem_execucao\", \"parada_emergencial\", \"conformacao\", \"ligara_complexo\", \"comeca_ganhar_forma\", \"atual_fase_destacam\", \"defensas_metalicas_vegetacao\", \"faixa_iniciaram\", \"informam_andamento\", \"interconexao\", \"abrangeu\", \"freeway\", \"galeria_abaixo\", \"tarefas\", \"viacao\", \"taguatinga_df\", \"gravatai\", \"aterro\", \"santo_antonio\", \"guaiba\", \"concepa\", \"rs\", \"sp\", \"osorio_porto_alegre\", \"aguas_lindas\", \"br\", \"mg\", \"pr\", \"trabalhos\", \"transportes\", \"execucao\", \"km\", \"divisa\", \"litoral\", \"quilometros\", \"faixas\", \"free_way\", \"df\", \"norte\", \"implantacao\", \"trecho\", \"obras\", \"rodovia\", \"ponte\", \"brasilia\", \"empresa\", \"transporte\", \"art\", \"gratuidade\", \"identidade\", \"passageiro\", \"carteira\", \"convencional\", \"passaporte\", \"declaracao\", \"beneficio\", \"bilhete\", \"identificacao\", \"transportadora\", \"idosos\", \"jovem\", \"embarque\", \"ct\", \"desconto_minimo\", \"adolescentes\", \"disposto\", \"longa_distancia\", \"assentos\", \"canal\", \"regulados\", \"comboio\", \"interestadual\", \"decreto\", \"indenizacao\", \"coeficientes_tarifarios\", \"iv\", \"conferir\", \"viajar\", \"pessoal\", \"video\", \"viagem\", \"interestadual_internacional\", \"semiurbano\", \"autorizacao\", \"servico\", \"resolucao\", \"regular\", \"viagens\", \"documento\", \"caso\", \"passageiros\", \"servicos\", 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\"viajar\", \"viajar\", \"viajar\", \"viajar\", \"viajar\", \"viajar\", \"viajar\", \"viajar\", \"viajar\", \"viajar\", \"viajar\", \"viajar\", \"viajar\", \"viajar\", \"viajar\", \"viajar\", \"viajar\", \"viajavam_desamparados\", \"viajavam_desamparados\", \"viajavam_desamparados\", \"viajavam_desamparados\", \"viajavam_desamparados\", \"viajavam_desamparados\", \"viajavam_desamparados\", \"viajavam_desamparados\", \"viajavam_desamparados\", \"viajavam_desamparados\", \"viajavam_desamparados\", \"viajavam_desamparados\", \"viajavam_desamparados\", \"viajavam_desamparados\", \"viajavam_desamparados\", \"viajavam_desamparados\", \"viajavam_desamparados\", \"viajavam_desamparados\", \"vias_mantenha_velocidade_permitida\", \"vias_mantenha_velocidade_permitida\", \"vias_mantenha_velocidade_permitida\", \"vias_mantenha_velocidade_permitida\", \"vias_mantenha_velocidade_permitida\", \"vias_mantenha_velocidade_permitida\", \"vias_mantenha_velocidade_permitida\", 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\"vila_velha_santa\", \"vila_velha_santa\", \"vila_velha_santa\", \"vila_velha_santa\", \"vila_velha_santa\", \"vila_velha_santa\", \"vila_velha_santa\", \"vila_velha_santa\", \"vila_velha_santa\", \"vila_velha_santa\", \"vila_velha_santa\", \"vila_velha_santa\", \"vila_velha_santa\", \"vila_velha_santa\", \"vila_velha_santa\", \"visa_recompor_equilibrio_economico\", \"visa_recompor_equilibrio_economico\", \"visa_recompor_equilibrio_economico\", \"visa_recompor_equilibrio_economico\", \"visa_recompor_equilibrio_economico\", \"visa_recompor_equilibrio_economico\", \"visa_recompor_equilibrio_economico\", \"visa_recompor_equilibrio_economico\", \"visa_recompor_equilibrio_economico\", \"visa_recompor_equilibrio_economico\", \"visa_recompor_equilibrio_economico\", \"visa_recompor_equilibrio_economico\", \"visa_recompor_equilibrio_economico\", \"visa_recompor_equilibrio_economico\", \"visa_recompor_equilibrio_economico\", \"visa_recompor_equilibrio_economico\", \"visa_recompor_equilibrio_economico\", \"visa_recompor_equilibrio_economico\", \"visitantes\", \"visitantes\", \"visitantes\", \"visitantes\", \"visitantes\", \"visitantes\", \"visitantes\", \"visitantes\", \"visitantes\", \"visitantes\", \"visitantes\", \"visitantes\", \"visitantes\", \"visitantes\", \"visitantes\", \"visitantes\", \"visitantes\", \"vistoriados\", \"vistoriados\", \"vistoriados\", \"vistoriados\", \"vistoriados\", \"vistoriados\", \"vistoriados\", \"vistoriados\", \"vistoriados\", \"vistoriados\", \"vistoriados\", \"vistoriados\", \"vistoriados\", \"vistoriados\", \"vistoriados\", \"vistoriados\", \"vistoriados\", \"vistoriados\", \"vitimas\", \"vitimas\", \"vitimas\", \"vitimas\", \"vitimas\", \"vitimas\", \"vitimas\", \"vitimas\", \"vitimas\", \"vitimas\", \"vitimas\", \"vitimas\", \"vitimas\", \"vitimas\", \"vitimas\", \"vitimas\", \"vitimas\", \"vitoria\", \"vitoria\", \"vitoria\", \"vitoria\", \"vitoria\", \"vitoria\", \"vitoria\", \"vitoria\", \"vitoria\", 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      "text/plain": [
       "PreparedData(topic_coordinates=           Freq  cluster  topics         x         y\n",
       "topic                                               \n",
       "0      1.711082        1       1 -0.065108  0.051136\n",
       "1      2.512967        1       2 -0.058931  0.071544\n",
       "2      0.711459        1       3 -0.018752 -0.035058\n",
       "3      6.388586        1       4  0.061465 -0.023510\n",
       "4      1.161782        1       5 -0.047642  0.041151\n",
       "5      4.731302        1       6 -0.090510 -0.041614\n",
       "6      2.395373        1       7 -0.023595  0.069493\n",
       "7      4.585913        1       8  0.081127  0.083118\n",
       "8      7.341441        1       9  0.044481  0.017992\n",
       "9      3.664893        1      10 -0.039342  0.093391\n",
       "10     3.245061        1      11  0.000355 -0.008757\n",
       "11     0.964459        1      12  0.046343  0.006604\n",
       "12     4.780013        1      13  0.059411 -0.074907\n",
       "13     4.992916        1      14  0.095935 -0.005652\n",
       "14     2.262646        1      15 -0.053913  0.006506\n",
       "15     1.901743        1      16  0.020552 -0.086948\n",
       "16     3.136252        1      17 -0.126336 -0.083785\n",
       "17     3.788039        1      18 -0.127239 -0.078442\n",
       "18     1.131273        1      19  0.031450  0.007538\n",
       "19     3.622776        1      20  0.087378 -0.076624\n",
       "20     3.987154        1      21  0.073320  0.059425\n",
       "21     1.989307        1      22 -0.042151  0.062616\n",
       "22     5.222755        1      23 -0.088368 -0.038554\n",
       "23     4.444911        1      24  0.091753 -0.053570\n",
       "24     2.183452        1      25 -0.022049 -0.069689\n",
       "25     2.417155        1      26 -0.057599  0.084482\n",
       "26     6.942467        1      27  0.082185  0.007737\n",
       "27     1.255253        1      28  0.058995  0.036129\n",
       "28     1.148630        1      29 -0.047815  0.008229\n",
       "29     5.378940        1      30  0.074596 -0.029982, topic_info=     Category         Freq               Term        Total  loglift  logprob\n",
       "term                                                                        \n",
       "14    Default  2244.000000                 br  2244.000000  30.0000  30.0000\n",
       "246   Default  2713.000000         transporte  2713.000000  29.0000  29.0000\n",
       "85    Default  1063.000000            pedagio  1063.000000  28.0000  28.0000\n",
       "457   Default  1387.000000           veiculos  1387.000000  27.0000  27.0000\n",
       "903   Default  1305.000000                 km  1305.000000  26.0000  26.0000\n",
       "107   Default  1229.000000            rodovia  1229.000000  25.0000  25.0000\n",
       "20    Default  1077.000000          concessao  1077.000000  24.0000  24.0000\n",
       "236   Default  1532.000000        passageiros  1532.000000  23.0000  23.0000\n",
       "104   Default  1358.000000                rio  1358.000000  22.0000  22.0000\n",
       "116   Default   959.000000                 sp   959.000000  21.0000  21.0000\n",
       "578   Default   568.000000             tarifa   568.000000  20.0000  20.0000\n",
       "49    Default   771.000000       fiscalizacao   771.000000  19.0000  19.0000\n",
       "125   Default  1149.000000             trecho  1149.000000  18.0000  18.0000\n",
       "124   Default  1921.000000        transportes  1921.000000  17.0000  17.0000\n",
       "336   Default  1131.000000     concessionaria  1131.000000  16.0000  16.0000\n",
       "2     Default  2076.000000            agencia  2076.000000  15.0000  15.0000\n",
       "72    Default   610.000000                 mg   610.000000  14.0000  14.0000\n",
       "86    Default   469.000000              ponte   469.000000  13.0000  13.0000\n",
       "259   Default   689.000000           brasilia   689.000000  12.0000  12.0000\n",
       "122   Default   678.000000            trafego   678.000000  11.0000  11.0000\n",
       "105   Default   685.000000                 rj   685.000000  10.0000  10.0000\n",
       "863   Default   366.000000      contribuicoes   366.000000   9.0000   9.0000\n",
       "552   Default   632.000000        quilometros   632.000000   8.0000   8.0000\n",
       "266   Default   536.000000           contrato   536.000000   7.0000   7.0000\n",
       "32    Default  1363.000000                dia  1363.000000   6.0000   6.0000\n",
       "260   Default   679.000000             cargas   679.000000   5.0000   5.0000\n",
       "2043  Default   353.000000            horario   353.000000   4.0000   4.0000\n",
       "190   Default   682.000000          resolucao   682.000000   3.0000   3.0000\n",
       "209   Default   380.000000  audiencia_publica   380.000000   2.0000   2.0000\n",
       "1219  Default   559.000000                 df   559.000000   1.0000   1.0000\n",
       "...       ...          ...                ...          ...      ...      ...\n",
       "5801  Topic30    31.663420         semiurbano    95.885120   1.8147  -6.4587\n",
       "499   Topic30    68.507393        autorizacao   270.996273   1.5475  -5.6869\n",
       "381   Topic30   156.099195            servico   798.976576   1.2898  -4.8634\n",
       "190   Topic30   133.240720          resolucao   682.322313   1.2893  -5.0217\n",
       "102   Topic30    33.888413            regular   114.500642   1.7052  -6.3908\n",
       "247   Topic30    45.681465            viagens   172.930860   1.5915  -6.0922\n",
       "698   Topic30    40.369849          documento   146.373092   1.6346  -6.2158\n",
       "2380  Topic30    88.306280               caso   430.588902   1.3383  -5.4331\n",
       "236   Topic30   208.163616        passageiros  1532.874850   0.9261  -4.5756\n",
       "112   Topic30   157.650608           servicos  1081.058295   0.9974  -4.8535\n",
       "36    Topic30   125.407407           empresas   791.430552   1.0804  -5.0823\n",
       "347   Topic30    95.414915            empresa   616.197243   1.0573  -5.3556\n",
       "246   Topic30   215.231138         transporte  2713.715352   0.3883  -4.5422\n",
       "174   Topic30    77.162610             onibus   477.034426   1.1010  -5.5680\n",
       "1343  Topic30    47.294439           conforme   213.231250   1.4167  -6.0575\n",
       "2     Topic30   156.909491            agencia  2076.655038   0.3398  -4.8582\n",
       "191   Topic30    93.145577         rodoviario   799.487747   0.7729  -5.3797\n",
       "75    Topic30   133.221841           nacional  1830.599953   0.3023  -5.0219\n",
       "120   Topic30   108.107505         terrestres  1317.495831   0.4223  -5.2308\n",
       "178   Topic30    45.655248           passagem   223.436977   1.3347  -6.0928\n",
       "127   Topic30    80.309304           usuarios   784.415270   0.6436  -5.5280\n",
       "1362  Topic30    44.272842         documentos   211.414003   1.3592  -6.1235\n",
       "320   Topic30    55.215017               tres   353.409726   1.0663  -5.9026\n",
       "124   Topic30   109.647547        transportes  1921.078262   0.0593  -5.2166\n",
       "201   Topic30    51.390080              valor   357.639582   0.9826  -5.9744\n",
       "1077  Topic30    59.750557               meio   606.106423   0.6058  -5.8237\n",
       "472   Topic30    55.937604               dias   491.396010   0.7497  -5.8896\n",
       "250   Topic30    53.607834             acordo   427.609948   0.8462  -5.9322\n",
       "301   Topic30    54.437041              prazo   457.701884   0.7935  -5.9168\n",
       "32    Topic30    48.204279                dia  1363.819381  -0.4199  -6.0384\n",
       "\n",
       "[1944 rows x 6 columns], token_table=      Topic      Freq               Term\n",
       "term                                    \n",
       "2139      2  0.031001               abcr\n",
       "2139      4  0.031001               abcr\n",
       "2139      6  0.031001               abcr\n",
       "2139      7  0.031001               abcr\n",
       "2139      8  0.031001               abcr\n",
       "2139      9  0.031001               abcr\n",
       "2139     10  0.031001               abcr\n",
       "2139     11  0.031001               abcr\n",
       "2139     13  0.031001               abcr\n",
       "2139     14  0.062003               abcr\n",
       "2139     17  0.031001               abcr\n",
       "2139     18  0.031001               abcr\n",
       "2139     20  0.310015               abcr\n",
       "2139     21  0.031001               abcr\n",
       "2139     23  0.062003               abcr\n",
       "2139     24  0.124006               abcr\n",
       "2139     26  0.031001               abcr\n",
       "2139     27  0.031001               abcr\n",
       "2139     28  0.031001               abcr\n",
       "2139     30  0.031001               abcr\n",
       "1429      2  0.024158          abordagem\n",
       "1429      4  0.024158          abordagem\n",
       "1429      6  0.096631          abordagem\n",
       "1429      8  0.024158          abordagem\n",
       "1429      9  0.024158          abordagem\n",
       "1429     10  0.024158          abordagem\n",
       "1429     11  0.024158          abordagem\n",
       "1429     13  0.024158          abordagem\n",
       "1429     14  0.072473          abordagem\n",
       "1429     17  0.024158          abordagem\n",
       "...     ...       ...                ...\n",
       "6485     17  0.023794  www_tavbrasil_gov\n",
       "6485     18  0.023794  www_tavbrasil_gov\n",
       "6485     20  0.023794  www_tavbrasil_gov\n",
       "6485     21  0.356907  www_tavbrasil_gov\n",
       "6485     23  0.023794  www_tavbrasil_gov\n",
       "6485     24  0.023794  www_tavbrasil_gov\n",
       "6485     27  0.023794  www_tavbrasil_gov\n",
       "6485     28  0.023794  www_tavbrasil_gov\n",
       "6485     30  0.047588  www_tavbrasil_gov\n",
       "2720      1  0.156297          zero_hora\n",
       "2720      2  0.090488          zero_hora\n",
       "2720      4  0.008226          zero_hora\n",
       "2720      5  0.024678          zero_hora\n",
       "2720      6  0.049357          zero_hora\n",
       "2720      8  0.008226          zero_hora\n",
       "2720      9  0.008226          zero_hora\n",
       "2720     10  0.008226          zero_hora\n",
       "2720     11  0.008226          zero_hora\n",
       "2720     13  0.008226          zero_hora\n",
       "2720     14  0.008226          zero_hora\n",
       "2720     17  0.115166          zero_hora\n",
       "2720     18  0.115166          zero_hora\n",
       "2720     20  0.008226          zero_hora\n",
       "2720     21  0.008226          zero_hora\n",
       "2720     23  0.090488          zero_hora\n",
       "2720     24  0.008226          zero_hora\n",
       "2720     26  0.180975          zero_hora\n",
       "2720     27  0.008226          zero_hora\n",
       "2720     29  0.008226          zero_hora\n",
       "2720     30  0.065809          zero_hora\n",
       "\n",
       "[24129 rows x 3 columns], R=30, lambda_step=0.01, plot_opts={'xlab': 'PC1', 'ylab': 'PC2'}, topic_order=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def malletmodel2ldamodelMy(mallet_model, gamma_threshold=0.001, iterations=50):\n",
    " \"\"\"\n",
    " Function to convert mallet model to gensim LdaModel. This works by copying the\n",
    " training model weights (alpha, beta...) from a trained mallet model into the\n",
    " gensim model.\n",
    "\n",
    " Args:\n",
    " mallet_model : Trained mallet model\n",
    " gamma_threshold : To be used for inference in the new LdaModel.\n",
    " iterations : number of iterations to be used for inference in the new LdaModel.\n",
    "\n",
    " Returns:\n",
    " model_gensim : LdaModel instance; copied gensim LdaModel\n",
    " \"\"\"\n",
    " model_gensim = gensim.models.LdaModel(\n",
    "   id2word=mallet_model.id2word, num_topics=mallet_model.num_topics,\n",
    "   alpha=mallet_model.alpha, iterations=iterations,\n",
    "   eta=mallet_model.word_topics,\n",
    "   gamma_threshold=gamma_threshold,\n",
    "   dtype=np.float64 # don't loose precision when converting from MALLET\n",
    " )\n",
    " model_gensim.expElogbeta[:] = mallet_model.wordtopics\n",
    " return model_gensim\n",
    "\n",
    "ldamallet = gensim.utils.SaveLoad.load('antt-option4-ldamalletmodel')\n",
    "\n",
    "lda_model = malletmodel2ldamodelMy(ldamallet)\n",
    "lda_model.save('antt-option4-ldamodel')\n",
    "\n",
    "pyLDAvis.enable_notebook()\n",
    "vis = pyLDAvis.gensim.prepare(lda_model, corpus, id2word, sort_topics=False)\n",
    "vis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Topico</th>\n",
       "      <th>Keywords</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>tarifa, pedagio, reboque_caminhao_trator, br, praca, caminhao, caminhao_trator, veiculo, pracas, semi_reboque_dupla, semi_reboque, valores, rodovia, reajuste, tipo, km, rj, categoria, automovel_caminhonete, mg, partir, praticados_automovel_caminhonete_furgao, ano, caminhonete, tarifas, eixos_rodagem_multiplicador, semi_reboque_simples_caminhao,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>pedagio, contrato, tarifa, ano, concessao, lei, tarifas, inicio, caso, br, cobranca, pracas, aniversario, reajuste, concessionaria, agencia, terrestres, nacional, inclusao, vez, transportes, sempre, infraestrutura, arredondamento, tarifa_basica, obras, objetivo, valores, combinacao, dia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.0</td>\n",
       "      <td>veiculos, rodovia, usuarios, dia, viagem, atendimento, trafego, autopista_regis_bittencourt, telefone, empresa, condicoes, br, quinta, pista, agencia, respeite, sentido, maior_movimento, domingo, certificado, transporte, caso, informacoes, atender, seguranca, poderao, horas, maior, disso, transportes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.0</td>\n",
       "      <td>transportes, transporte, trem, agencia, nacional, passageiros, ferroviario, brasil, projeto, terrestres, dia, presidente, evento, vale, regiao, pessoas, setor, sul, empresa, mil, governo, trecho, trabalho, acoes, ministerio, local, trilhos, diretor_geral, objetivo, diretor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4.0</td>\n",
       "      <td>br, transportes, infraestrutura, trecho, agencia, terrestres, sp, nacional, concessionaria, extensao, km, rj, concessao, servicos, programa, nova, quilometros, prestacao, iniciativa_privada, transporte, parte, pedagio, objetivo, mg, partir, exploracao, periodo, direitos, rs, terrestre_inclusive_contratos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5.0</td>\n",
       "      <td>br, rodovia, concessionaria, rio, km, rj, sp, trafego, trecho, acidentes, obras, rs, pedagio, ponte, seguranca, transito, mg, pista, teresopolis, veiculos, atendimento, dia, usuarios, rodovias, crt, concessionarias, paraiba, periodo, concepa, nacional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6.0</td>\n",
       "      <td>br, trecho, km, concessao, sul, quilometros, ferrovia, rio, implantacao, rodovia, transportes, nacional, estudos, investimentos, obras, norte, ms, extensao, edital, porto, programa, dia, entroncamento, estado, projeto, duplicacao, goias, trechos, paulo, agencia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7.0</td>\n",
       "      <td>agencia, dia, nacional, terrestres, transportes, contribuicoes, brasilia, concessao, audiencia_publica, proposta, br, resolucao, transporte, edital, objetivo, horario, interessados, meio, prazo, df, trecho, informacoes, documentos, gov, participacao, sugestoes, site, data, audiencia, servico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8.0</td>\n",
       "      <td>projeto, passageiros, trem, governo, paulo, transporte, estado, trilhos, projetos, linha, quilometros, trens, bilhoes, construcao, anos, sistema, rio, dia, ano, estudos, linhas, cidades, segundo, obras, federal, pais, mil, investimentos, milhoes, trecho</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9.0</td>\n",
       "      <td>concessao, br, mg, trecho, rodovia, leilao, km, pedagio, contrato, edital, rodovias, anos, concessionaria, inicio, obras, quilometros, df, prazo, programa, mt, transportes, duplicacao, etapa, assinatura, divisa, investimentos, extensao, ano, relacao, tarifa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10.0</td>\n",
       "      <td>km, trecho, ferrovia, rio, ano, milhoes, concessionaria, agencia, transporte, vagoes, operacao, toneladas, ferroviario, investimentos, producao, empresa, acidentes, nacional, acidente, companhia, sul, trem, terrestres, bilhoes, transportes, concessao, relacao, regiao, trens, malha</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11.0</td>\n",
       "      <td>transportes, agencia, nacional, diretor, terrestres, dia, fca, ferroviario, federal, ministro, estado, transporte, ministerio, cargas, reuniao, trechos, ferrovia, comissao, anos, governo, resolucao, senado, representantes, trens, servicos, passageiros, republica, ferrovias, rio, hoje</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12.0</td>\n",
       "      <td>transporte, fiscalizacao, agencia, passageiros, veiculos, nacional, transportes, empresas, pedagio, vale, operacao, onibus, rodoviario, carga, terrestres, cargas, lei, seguranca, servicos, linhas, usuarios, servico, rio, dia, rodovias, sul, veiculo, fiscais, estado, policia_rodoviaria_federal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13.0</td>\n",
       "      <td>transporte, transportes, agencia, nacional, passageiros, terrestres, ferroviario, brasil, representantes, cargas, ministerio, setor, grupo, concessionarias, reuniao, ferrovias, objetivo, evento, governo, encontro, trabalho, servicos, projeto, diretor_geral, desenvolvimento, estudos, infraestrutura, participacao, pais, seminario</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14.0</td>\n",
       "      <td>ponte, rio, br, niteroi, rj, trecho, agencia, infraestrutura, quilometros, janeiro, trafego, rodovia, concessao, peso, sistema, excesso, transportes, exploracao, terrestres, obra, transito, veiculos, obras, objetivo, maior, servicos, transporte, projeto, acesso, etapa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15.0</td>\n",
       "      <td>veiculos, transporte, operacao, fiscalizacao, passageiros, paulo, sp, clandestino, seguranca, agencia, estado, onibus, regiao, apreendidos, transportes, nacional, acao, destino, veiculo, dias, terrestres, segunda, ocorreu, motoristas, igarapava, fuga, agentes, realizou, acoes, aden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16.0</td>\n",
       "      <td>veiculos, rio, ponte, concessionaria, rodovia, trafego, km, teresopolis, usuarios, pedagio, motoristas, mil, sexta, br, fluxo, paraiba, dia, quarta, domingo, sabado, previsao, obras, feriado, horas, crt, numero, periodo, pracas, rj, maior_movimento</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17.0</td>\n",
       "      <td>km, rio, rodovia, sp, veiculos, trafego, concessionaria, sentido, obras, dia, novadutra, rj, previsao, paulo, usuarios, mil, pista, hora, via_dutra, motoristas, faixa, sexta, janeiro, viaturas, horas, br, feriado, interdicao, fluxo, faixas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18.0</td>\n",
       "      <td>agencia, transportes, diretor, terrestres, universidade, federal, servicos, nacional, unb, senado, diretores, diretoria, regulacao, cargo, administracao, jorge_bastos, dia, representantes, anos, programa, mandato, posse, engenharia, empresa, nascimento_marcelo_bruto, diretor_geral, tecnologia, plenario, marcelo_bruto, periodo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19.0</td>\n",
       "      <td>transporte, passageiros, transportes, fiscalizacao, agencia, nacional, cargas, terrestres, rodoviario, veiculos, operacao, brasil, empresas, onibus, servicos, internacional, reuniao, carga, clandestino, policia_rodoviaria_federal, br, paises, resolucao, acao, objetivo, realizada, acordo, seguranca, pais, dias</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20.0</td>\n",
       "      <td>brasilia, dia, horario, audiencia_publica, contribuicoes, agencia, nacional, transporte, servico, passageiros, edital, terrestres, transportes, df, sp, resolucao, data, br, informacoes, trecho, janeiro, paulo, site, rio, concessao, auditorio, objetivo, interessados, gov, rodoviario</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>21.0</td>\n",
       "      <td>br, km, trecho, rio, concessao, rodovia, quilometros, concessionaria, sul, entroncamento, agencia, infraestrutura, janeiro, servico, exploracao, extensao, programa, transportes, informacoes, mt, brasilia, df, obras, contribuicoes, rj, terrestres, estudos, rs, nacional, objetivo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22.0</td>\n",
       "      <td>br, atendimento, concessionaria, rodovia, veiculos, usuarios, usuario, servicos, rj, periodo, trafego, operacao, sp, infraestrutura, trecho, seguranca, quilometros, agencia, acidentes, nacional, informacoes, concessionarias, terrestres, transportes, dia, feriado, numero, concessao, objetivo, rodovias</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23.0</td>\n",
       "      <td>transporte, cargas, registro, nacional, veiculos, agencia, rodoviario, passageiros, resolucao, servicos, rntrc, dados, empresas, transportador, carga, fiscalizacao, informacoes, transportadores, transportes, sistema, terrestres, frota, veiculo, implantacao, transportadores_rodoviarios, prazo, monitriip, procedimentos, autorizacao, recadastramento</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>24.0</td>\n",
       "      <td>sp, veiculos, rodovia, saude, acao, rio, seguranca, cinto, fiscalizacao, motoristas, programa, novadutra, passageiros, rj, concessionaria, km, transporte, via_dutra, onibus, policia_rodoviaria_federal, campanha, nacional, br, presidente_dutra, parceria, transportes, importancia, objetivo, uso, empresas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>25.0</td>\n",
       "      <td>pedagio, mg, tarifa, br, reajuste, pracas, trecho, concessionaria, contrato, praca, concessao, valor, agencia, quilometros, df, nacional, valores, km, tarifas, terrestres, reboque_caminhao_trator, transportes, dia, resolucao, veiculo, tarifa_basica, partir, rodovia, caminhao, sp</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>26.0</td>\n",
       "      <td>transporte, transportes, empresas, agencia, nacional, servicos, sistema, passageiros, licitacao, servico, empresa, ferroviario, meio, operacao, df, prazo, rodoviario, anos, setor, valor, forma, ano, terrestres, ferrovias, linhas, processo, brasil, goias, resolucao, novo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>27.0</td>\n",
       "      <td>dia, brasilia, agencia, contribuicoes, transportes, horario, transporte, df, terrestres, nacional, informacoes, audiencia_publica, br, gov, envio, meio, data, endereco, horas, trecho, passageiros, federal, interessados, audiencia, segunda, objetivo, concessao, controle, internacional, resolucao</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>28.0</td>\n",
       "      <td>br, ltda, sp, transportes, km, rs, mg, quilometros, df, porto_alegre, trecho, concepa, rodovia, implantacao, turismo_ltda, obras, pr, santo_antonio, ponte, transporte, divisa, execucao, brasilia, norte, empresa, trabalhos, faixas, guaiba, viacao, taguatinga_df</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>29.0</td>\n",
       "      <td>transporte, passageiros, servicos, agencia, servico, resolucao, nacional, empresas, transportes, terrestres, empresa, rodoviario, caso, usuarios, viagem, onibus, autorizacao, passageiro, meio, dias, interestadual_internacional, tres, prazo, acordo, valor, interestadual, identificacao, dia, conforme, art</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Topico  \\\n",
       "0      0.0   \n",
       "1      1.0   \n",
       "2      2.0   \n",
       "3      3.0   \n",
       "4      4.0   \n",
       "5      5.0   \n",
       "6      6.0   \n",
       "7      7.0   \n",
       "8      8.0   \n",
       "9      9.0   \n",
       "10    10.0   \n",
       "11    11.0   \n",
       "12    12.0   \n",
       "13    13.0   \n",
       "14    14.0   \n",
       "15    15.0   \n",
       "16    16.0   \n",
       "17    17.0   \n",
       "18    18.0   \n",
       "19    19.0   \n",
       "20    20.0   \n",
       "21    21.0   \n",
       "22    22.0   \n",
       "23    23.0   \n",
       "24    24.0   \n",
       "25    25.0   \n",
       "26    26.0   \n",
       "27    27.0   \n",
       "28    28.0   \n",
       "29    29.0   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                                                                         Keywords  \n",
       "0   tarifa, pedagio, reboque_caminhao_trator, br, praca, caminhao, caminhao_trator, veiculo, pracas, semi_reboque_dupla, semi_reboque, valores, rodovia, reajuste, tipo, km, rj, categoria, automovel_caminhonete, mg, partir, praticados_automovel_caminhonete_furgao, ano, caminhonete, tarifas, eixos_rodagem_multiplicador, semi_reboque_simples_caminhao,...  \n",
       "1                                                                 pedagio, contrato, tarifa, ano, concessao, lei, tarifas, inicio, caso, br, cobranca, pracas, aniversario, reajuste, concessionaria, agencia, terrestres, nacional, inclusao, vez, transportes, sempre, infraestrutura, arredondamento, tarifa_basica, obras, objetivo, valores, combinacao, dia  \n",
       "2                                                   veiculos, rodovia, usuarios, dia, viagem, atendimento, trafego, autopista_regis_bittencourt, telefone, empresa, condicoes, br, quinta, pista, agencia, respeite, sentido, maior_movimento, domingo, certificado, transporte, caso, informacoes, atender, seguranca, poderao, horas, maior, disso, transportes  \n",
       "3                                                                               transportes, transporte, trem, agencia, nacional, passageiros, ferroviario, brasil, projeto, terrestres, dia, presidente, evento, vale, regiao, pessoas, setor, sul, empresa, mil, governo, trecho, trabalho, acoes, ministerio, local, trilhos, diretor_geral, objetivo, diretor  \n",
       "4                                               br, transportes, infraestrutura, trecho, agencia, terrestres, sp, nacional, concessionaria, extensao, km, rj, concessao, servicos, programa, nova, quilometros, prestacao, iniciativa_privada, transporte, parte, pedagio, objetivo, mg, partir, exploracao, periodo, direitos, rs, terrestre_inclusive_contratos  \n",
       "5                                                                                                     br, rodovia, concessionaria, rio, km, rj, sp, trafego, trecho, acidentes, obras, rs, pedagio, ponte, seguranca, transito, mg, pista, teresopolis, veiculos, atendimento, dia, usuarios, rodovias, crt, concessionarias, paraiba, periodo, concepa, nacional  \n",
       "6                                                                                           br, trecho, km, concessao, sul, quilometros, ferrovia, rio, implantacao, rodovia, transportes, nacional, estudos, investimentos, obras, norte, ms, extensao, edital, porto, programa, dia, entroncamento, estado, projeto, duplicacao, goias, trechos, paulo, agencia  \n",
       "7                                                            agencia, dia, nacional, terrestres, transportes, contribuicoes, brasilia, concessao, audiencia_publica, proposta, br, resolucao, transporte, edital, objetivo, horario, interessados, meio, prazo, df, trecho, informacoes, documentos, gov, participacao, sugestoes, site, data, audiencia, servico  \n",
       "8                                                                                                   projeto, passageiros, trem, governo, paulo, transporte, estado, trilhos, projetos, linha, quilometros, trens, bilhoes, construcao, anos, sistema, rio, dia, ano, estudos, linhas, cidades, segundo, obras, federal, pais, mil, investimentos, milhoes, trecho  \n",
       "9                                                                                               concessao, br, mg, trecho, rodovia, leilao, km, pedagio, contrato, edital, rodovias, anos, concessionaria, inicio, obras, quilometros, df, prazo, programa, mt, transportes, duplicacao, etapa, assinatura, divisa, investimentos, extensao, ano, relacao, tarifa  \n",
       "10                                                                      km, trecho, ferrovia, rio, ano, milhoes, concessionaria, agencia, transporte, vagoes, operacao, toneladas, ferroviario, investimentos, producao, empresa, acidentes, nacional, acidente, companhia, sul, trem, terrestres, bilhoes, transportes, concessao, relacao, regiao, trens, malha  \n",
       "11                                                                   transportes, agencia, nacional, diretor, terrestres, dia, fca, ferroviario, federal, ministro, estado, transporte, ministerio, cargas, reuniao, trechos, ferrovia, comissao, anos, governo, resolucao, senado, representantes, trens, servicos, passageiros, republica, ferrovias, rio, hoje  \n",
       "12                                                          transporte, fiscalizacao, agencia, passageiros, veiculos, nacional, transportes, empresas, pedagio, vale, operacao, onibus, rodoviario, carga, terrestres, cargas, lei, seguranca, servicos, linhas, usuarios, servico, rio, dia, rodovias, sul, veiculo, fiscais, estado, policia_rodoviaria_federal  \n",
       "13                      transporte, transportes, agencia, nacional, passageiros, terrestres, ferroviario, brasil, representantes, cargas, ministerio, setor, grupo, concessionarias, reuniao, ferrovias, objetivo, evento, governo, encontro, trabalho, servicos, projeto, diretor_geral, desenvolvimento, estudos, infraestrutura, participacao, pais, seminario  \n",
       "14                                                                                   ponte, rio, br, niteroi, rj, trecho, agencia, infraestrutura, quilometros, janeiro, trafego, rodovia, concessao, peso, sistema, excesso, transportes, exploracao, terrestres, obra, transito, veiculos, obras, objetivo, maior, servicos, transporte, projeto, acesso, etapa  \n",
       "15                                                                     veiculos, transporte, operacao, fiscalizacao, passageiros, paulo, sp, clandestino, seguranca, agencia, estado, onibus, regiao, apreendidos, transportes, nacional, acao, destino, veiculo, dias, terrestres, segunda, ocorreu, motoristas, igarapava, fuga, agentes, realizou, acoes, aden  \n",
       "16                                                                                                       veiculos, rio, ponte, concessionaria, rodovia, trafego, km, teresopolis, usuarios, pedagio, motoristas, mil, sexta, br, fluxo, paraiba, dia, quarta, domingo, sabado, previsao, obras, feriado, horas, crt, numero, periodo, pracas, rj, maior_movimento  \n",
       "17                                                                                                                km, rio, rodovia, sp, veiculos, trafego, concessionaria, sentido, obras, dia, novadutra, rj, previsao, paulo, usuarios, mil, pista, hora, via_dutra, motoristas, faixa, sexta, janeiro, viaturas, horas, br, feriado, interdicao, fluxo, faixas  \n",
       "18                        agencia, transportes, diretor, terrestres, universidade, federal, servicos, nacional, unb, senado, diretores, diretoria, regulacao, cargo, administracao, jorge_bastos, dia, representantes, anos, programa, mandato, posse, engenharia, empresa, nascimento_marcelo_bruto, diretor_geral, tecnologia, plenario, marcelo_bruto, periodo  \n",
       "19                                         transporte, passageiros, transportes, fiscalizacao, agencia, nacional, cargas, terrestres, rodoviario, veiculos, operacao, brasil, empresas, onibus, servicos, internacional, reuniao, carga, clandestino, policia_rodoviaria_federal, br, paises, resolucao, acao, objetivo, realizada, acordo, seguranca, pais, dias  \n",
       "20                                                                     brasilia, dia, horario, audiencia_publica, contribuicoes, agencia, nacional, transporte, servico, passageiros, edital, terrestres, transportes, df, sp, resolucao, data, br, informacoes, trecho, janeiro, paulo, site, rio, concessao, auditorio, objetivo, interessados, gov, rodoviario  \n",
       "21                                                                         br, km, trecho, rio, concessao, rodovia, quilometros, concessionaria, sul, entroncamento, agencia, infraestrutura, janeiro, servico, exploracao, extensao, programa, transportes, informacoes, mt, brasilia, df, obras, contribuicoes, rj, terrestres, estudos, rs, nacional, objetivo  \n",
       "22                                                  br, atendimento, concessionaria, rodovia, veiculos, usuarios, usuario, servicos, rj, periodo, trafego, operacao, sp, infraestrutura, trecho, seguranca, quilometros, agencia, acidentes, nacional, informacoes, concessionarias, terrestres, transportes, dia, feriado, numero, concessao, objetivo, rodovias  \n",
       "23   transporte, cargas, registro, nacional, veiculos, agencia, rodoviario, passageiros, resolucao, servicos, rntrc, dados, empresas, transportador, carga, fiscalizacao, informacoes, transportadores, transportes, sistema, terrestres, frota, veiculo, implantacao, transportadores_rodoviarios, prazo, monitriip, procedimentos, autorizacao, recadastramento  \n",
       "24                                                sp, veiculos, rodovia, saude, acao, rio, seguranca, cinto, fiscalizacao, motoristas, programa, novadutra, passageiros, rj, concessionaria, km, transporte, via_dutra, onibus, policia_rodoviaria_federal, campanha, nacional, br, presidente_dutra, parceria, transportes, importancia, objetivo, uso, empresas  \n",
       "25                                                                        pedagio, mg, tarifa, br, reajuste, pracas, trecho, concessionaria, contrato, praca, concessao, valor, agencia, quilometros, df, nacional, valores, km, tarifas, terrestres, reboque_caminhao_trator, transportes, dia, resolucao, veiculo, tarifa_basica, partir, rodovia, caminhao, sp  \n",
       "26                                                                                 transporte, transportes, empresas, agencia, nacional, servicos, sistema, passageiros, licitacao, servico, empresa, ferroviario, meio, operacao, df, prazo, rodoviario, anos, setor, valor, forma, ano, terrestres, ferrovias, linhas, processo, brasil, goias, resolucao, novo  \n",
       "27                                                        dia, brasilia, agencia, contribuicoes, transportes, horario, transporte, df, terrestres, nacional, informacoes, audiencia_publica, br, gov, envio, meio, data, endereco, horas, trecho, passageiros, federal, interessados, audiencia, segunda, objetivo, concessao, controle, internacional, resolucao  \n",
       "28                                                                                           br, ltda, sp, transportes, km, rs, mg, quilometros, df, porto_alegre, trecho, concepa, rodovia, implantacao, turismo_ltda, obras, pr, santo_antonio, ponte, transporte, divisa, execucao, brasilia, norte, empresa, trabalhos, faixas, guaiba, viacao, taguatinga_df  \n",
       "29                                               transporte, passageiros, servicos, agencia, servico, resolucao, nacional, empresas, transportes, terrestres, empresa, rodoviario, caso, usuarios, viagem, onibus, autorizacao, passageiro, meio, dias, interestadual_internacional, tres, prazo, acordo, valor, interestadual, identificacao, dia, conforme, art  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lda_model = gensim.models.ldamodel.LdaModel.load('antt-option4-ldamodel')\n",
    "\n",
    "def print_topics(ldamodel=lda_model):\n",
    "    topics_df = pd.DataFrame()\n",
    "\n",
    "    for topic_num in range(num_topics):\n",
    "        topic_row = ldamodel.show_topic(topic_num,topn=30)\n",
    "        topic_keywords = \", \".join([word for word, prop in topic_row])\n",
    "        topics_df = topics_df.append(pd.Series([int(topic_num), topic_keywords]), ignore_index=True)\n",
    "    topics_df.columns = ['Topico', 'Keywords']\n",
    "    return topics_df\n",
    "    \n",
    "topics_df = print_topics(lda_model)\n",
    "pd.options.display.max_colwidth = 350\n",
    "topics_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Notícia mais representativa para cada tópico"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def format_topics_sentences(idsnews, ldamodel=lda_model, corpus=corpus, texts=data):\n",
    "    sent_topics_df = pd.DataFrame()\n",
    "\n",
    "    for i, row in enumerate(ldamodel[corpus]):\n",
    "        row = sorted(row, key=lambda x: (x[1]), reverse=True)\n",
    "        for j, (topic_num, prop_topic) in enumerate(row):\n",
    "            if j == 0:  # => dominant topic\n",
    "                wp = ldamodel.show_topic(topic_num)\n",
    "                topic_keywords = \", \".join([word for word, prop in wp])\n",
    "                sent_topics_df = sent_topics_df.append(pd.Series([int(topic_num), round(prop_topic,4), topic_keywords]), ignore_index=True)\n",
    "            else:\n",
    "                break\n",
    "    sent_topics_df.columns = ['Dominant_Topic', 'Perc_Contribution', 'Topic_Keywords']\n",
    "\n",
    "    contents = pd.Series(texts)\n",
    "    ids = pd.Series(idsnews)\n",
    "    sent_topics_df = pd.concat([sent_topics_df, contents], axis=1)\n",
    "    sent_topics_df = pd.concat([sent_topics_df, ids], axis=1)\n",
    "    return(sent_topics_df)\n",
    "\n",
    "\n",
    "idsnews = df.index.values\n",
    "df_topic_sents_keywords = format_topics_sentences(idsnews, ldamodel=lda_model, corpus=corpus, texts=data)\n",
    "\n",
    "df_dominant_topic = df_topic_sents_keywords.reset_index()\n",
    "df_dominant_topic.columns = ['Document_No', 'Dominant_Topic', 'Topic_Perc_Contrib', 'Keywords', 'Text', 'Id']\n",
    "\n",
    "#df_dominant_topic.head(20)\n",
    "\n",
    "sent_topics_sorteddf_mallet = pd.DataFrame()\n",
    "\n",
    "sent_topics_outdf_grpd = df_topic_sents_keywords.groupby('Dominant_Topic')\n",
    "\n",
    "for i, grp in sent_topics_outdf_grpd:\n",
    "    sent_topics_sorteddf_mallet = pd.concat([sent_topics_sorteddf_mallet, \n",
    "                                             grp.sort_values(['Perc_Contribution'], ascending=[0]).head(20)], \n",
    "                                            axis=0)\n",
    "\n",
    "sent_topics_sorteddf_mallet.reset_index(drop=True, inplace=True)\n",
    "\n",
    "sent_topics_sorteddf_mallet.columns = ['Topic_Num', \"Topic_Perc_Contrib\", \"Keywords\", \"Text\", \"Id\"]\n",
    "\n",
    "# Show\n",
    "pd.options.display.max_colwidth = 300\n",
    "pd.options.display.max_rows = 600\n",
    "sent_topics_sorteddf_mallet.index = np.arange(1, len(sent_topics_sorteddf_mallet) + 1)\n",
    "sent_topics_sorteddf_mallet['Topic_Num'] = sent_topics_sorteddf_mallet['Topic_Num'].apply(lambda x: x+1)\n",
    "sent_topics_sorteddf_mallet[['Topic_Num', 'Topic_Perc_Contrib', 'Text', 'Id']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0 [7, 12, 15]\n",
      "1.0 [18, 23, 26, 27, 29, 26, 27, 29, 27, 28, 29, 28, 29, 29]\n",
      "2.0 [37, 38, 38, 42, 43, 44, 45, 43, 44, 45, 44, 45, 45]\n",
      "3.0 [47, 48, 49, 50, 51, 52, 53, 54, 48, 49, 50, 51, 52, 53, 54, 49, 50, 51, 52, 53, 54, 50, 51, 52, 53, 54, 51, 52, 53, 54, 52, 53, 54, 53, 54, 54, 56, 57, 58, 59, 57, 58, 59, 58, 59, 59]\n",
      "4.0 [73, 74, 63, 64, 65, 64, 65, 65, 71, 72, 72, 74]\n",
      "4.0 [81, 82, 83, 82, 83, 83, 89]\n",
      "5.0 [92, 93, 93, 95, 99]\n",
      "6.0 [114, 117, 117]\n",
      "7.0 [126, 128, 129, 129, 131, 133, 134, 134]\n",
      "7.0 []\n",
      "8.0 [154, 164]\n",
      "9.0 []\n",
      "10.0 [195, 183, 187, 188, 193, 189, 188, 193, 193, 191, 192, 192]\n",
      "10.0 [197, 203, 205, 209, 205, 209, 209]\n",
      "11.0 []\n",
      "12.0 [228, 235, 236, 237, 238, 236, 237, 238, 237, 238, 238]\n",
      "13.0 [243, 246, 248, 246, 248, 248, 252, 253, 254, 253, 254, 254]\n",
      "13.0 [258, 263, 264, 264]\n",
      "14.0 [274, 275, 275, 277, 282, 283, 284, 285, 283, 284, 285, 284, 285, 285]\n",
      "15.0 [293, 291, 297, 298, 298]\n",
      "16.0 [308, 309, 310, 312, 313, 314, 303, 304, 305, 306, 307, 304, 305, 306, 307, 305, 306, 307, 306, 307, 307, 309, 310, 312, 313, 314, 310, 312, 313, 314, 312, 313, 314, 315, 313, 314, 314]\n",
      "16.0 [317, 318, 319, 318, 319, 319, 330, 325]\n",
      "17.0 []\n",
      "18.0 []\n",
      "19.0 [370, 371, 372, 373, 374, 375, 363, 367, 368, 369, 367, 368, 369, 368, 369, 369, 371, 372, 373, 374, 375, 372, 373, 374, 375, 373, 374, 375, 374, 375, 375]\n",
      "19.0 [379, 381, 388, 389, 388, 389, 389]\n",
      "20.0 [392, 393, 394, 395, 396, 393, 394, 395, 396, 394, 395, 396, 395, 396, 396]\n",
      "21.0 [411, 415, 416, 417, 416, 417, 417]\n",
      "22.0 [422, 423, 435, 423, 435, 435, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 426, 427, 428, 429, 430, 431, 432, 433, 434, 427, 428, 429, 430, 431, 432, 433, 434, 428, 429, 430, 431, 432, 433, 434, 429, 430, 431, 432, 433, 434, 430, 431, 432, 433, 434, 431, 432, 433, 434, 432, 433, 434, 433, 434, 434]\n",
      "22.0 [437, 438, 439, 438, 439, 439]\n",
      "Dropping duplicates: [7, 12, 15, 18, 23, 26, 27, 29, 26, 27, 29, 27, 28, 29, 28, 29, 29, 37, 38, 38, 42, 43, 44, 45, 43, 44, 45, 44, 45, 45, 47, 48, 49, 50, 51, 52, 53, 54, 48, 49, 50, 51, 52, 53, 54, 49, 50, 51, 52, 53, 54, 50, 51, 52, 53, 54, 51, 52, 53, 54, 52, 53, 54, 53, 54, 54, 56, 57, 58, 59, 57, 58, 59, 58, 59, 59, 73, 74, 63, 64, 65, 64, 65, 65, 71, 72, 72, 74, 81, 82, 83, 82, 83, 83, 89, 92, 93, 93, 95, 99, 114, 117, 117, 126, 128, 129, 129, 131, 133, 134, 134, 154, 164, 195, 183, 187, 188, 193, 189, 188, 193, 193, 191, 192, 192, 197, 203, 205, 209, 205, 209, 209, 228, 235, 236, 237, 238, 236, 237, 238, 237, 238, 238, 243, 246, 248, 246, 248, 248, 252, 253, 254, 253, 254, 254, 258, 263, 264, 264, 274, 275, 275, 277, 282, 283, 284, 285, 283, 284, 285, 284, 285, 285, 293, 291, 297, 298, 298, 308, 309, 310, 312, 313, 314, 303, 304, 305, 306, 307, 304, 305, 306, 307, 305, 306, 307, 306, 307, 307, 309, 310, 312, 313, 314, 310, 312, 313, 314, 312, 313, 314, 315, 313, 314, 314, 317, 318, 319, 318, 319, 319, 330, 325, 370, 371, 372, 373, 374, 375, 363, 367, 368, 369, 367, 368, 369, 368, 369, 369, 371, 372, 373, 374, 375, 372, 373, 374, 375, 373, 374, 375, 374, 375, 375, 379, 381, 388, 389, 388, 389, 389, 392, 393, 394, 395, 396, 393, 394, 395, 396, 394, 395, 396, 395, 396, 396, 411, 415, 416, 417, 416, 417, 417, 422, 423, 435, 423, 435, 435, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 426, 427, 428, 429, 430, 431, 432, 433, 434, 427, 428, 429, 430, 431, 432, 433, 434, 428, 429, 430, 431, 432, 433, 434, 429, 430, 431, 432, 433, 434, 430, 431, 432, 433, 434, 431, 432, 433, 434, 432, 433, 434, 433, 434, 434, 437, 438, 439, 438, 439, 439]\n"
     ]
    }
   ],
   "source": [
    "from difflib import SequenceMatcher\n",
    "\n",
    "def similar(a, b):\n",
    "    return SequenceMatcher(None, a, b).ratio()\n",
    "\n",
    "topics_top = sent_topics_sorteddf_mallet[['Topic_Num', 'Topic_Perc_Contrib', 'Text', 'Id']]\n",
    "\n",
    "idx_final = 0\n",
    "to_be_dropped_final = []\n",
    "for i in np.arange(1,num_topics+1):\n",
    "    idx_init = idx_final\n",
    "    idx_final = idx_init+15\n",
    "    current_top = sent_topics_sorteddf_mallet.iloc[idx_init:idx_final]\n",
    "    \n",
    "    to_be_dropped = []\n",
    "    for index1, row in current_top.iterrows():\n",
    "        for index2, row in current_top.iterrows():\n",
    "            if index1 < index2:\n",
    "                n1 = current_top.get_value(index1,'Text')\n",
    "                n2 = current_top.get_value(index2,'Text')\n",
    "                try:\n",
    "                    if similar(n1,n2) > 0.9:\n",
    "                        to_be_dropped.append(index2)\n",
    "                except TypeError:\n",
    "                    # do nothing\n",
    "                    print('',end='')\n",
    "    print(current_top['Topic_Num'].values[0], to_be_dropped)\n",
    "    to_be_dropped_final = to_be_dropped_final + to_be_dropped\n",
    "\n",
    "print('Dropping duplicates:', to_be_dropped_final)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "topics_final_mallet = topics_top.drop(to_be_dropped_final)\n",
    "\n",
    "topics_final = pd.DataFrame()\n",
    "\n",
    "topics_final_grpd = topics_final_mallet.groupby('Topic_Num')\n",
    "\n",
    "for i, grp in topics_final_grpd:\n",
    "    topics_final = pd.concat([topics_final, grp.sort_values(['Topic_Perc_Contrib'], ascending=[0]).head(5)], \n",
    "                                            axis=0)\n",
    "\n",
    "topics_final.reset_index(drop=True, inplace=True)\n",
    "\n",
    "topics_final.columns = ['Topic_Num', \"Topic_Perc_Contrib\", \"Text\", \"Id\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Topic_Num</th>\n",
       "      <th>Topic_Perc_Contrib</th>\n",
       "      <th>Text</th>\n",
       "      <th>Id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT), por meio da Resolução Nº 4.043, de 22/02/2013, autorizou o reajuste da tarifa de pedágio na BR-393/RJ, trecho Div. MG/RJ – Entr. BR-116 (DUTRA), explorado pela Rodovia do Aço S.A. O valor do reajuste foi de R$ 4,50 (quatro reais e cinquenta c...</td>\n",
       "      <td>1531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A resolução nº 3.918 do diretor-geral em exercício da ANTT, Ivo Borges, autorizou hoje (22/10) reajuste da tarifa de pedágio da BR-290/RS, no trecho Osório-Porto Alegre-Entroncamento da BR 116 (Free Way). A tarifa básica foi reajustada, após arredondamento, para R$ 8,50 nas Praças de Pedágio P1...</td>\n",
       "      <td>1431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) publicou no Diário Oficial da União desta terça-feira (26), o reajuste das tarifas de pedágio da BR-101/RJ, trecho Divisa RJ/ES - Ponte Presidente Costa e Silva, administrada pela concessionária Autopista Fluminense. A variação tarifária é de ...</td>\n",
       "      <td>1172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) publicou no Diário Oficial da União desta terça-feira (02), o reajuste das tarifas de pedágio do trecho rodoviário administrado pela concessionária Rodovia do Aço S.A. (BR-393/RJ) que liga a divisa MG/RJ até o entroncamento com a Via Dutra (BR...</td>\n",
       "      <td>1182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Os pedágios cobrados na Via Dutra terão novos valores a partir de 1 de agosto, data-base do reajuste anual previsto em contrato. Nas praças Moreira César, Itatiaia e Viúva Graça as tarifas serão de R$ 9,20. Em Jacareí, São Paulo, o valor será de R$ 4,10 e em Parateí Norte e Parateí Sul, o usuár...</td>\n",
       "      <td>1209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) autorizou, hoje (24/12), a 12ª Revisão Ordinária, a 8ª Revisão Extraordinária e o Reajuste da tarifa nas praças de pedágio das BR-116/RS e 392/RS, administrada pela concessionária Empresa Concessionária de Rodovias do Sul (ECOSUL). As novas ta...</td>\n",
       "      <td>2723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) autorizou, hoje (22/12), a alteração das tarifas de pedágio na rodovia BR-153/SP, trecho da Divisa MG/SP – Divisa SP/PR, administrada pela Transbrasiliana Concessionária de Rodovia S.A. Na Rodovia Transbrasiliana, os novos valores passam a vig...</td>\n",
       "      <td>3044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) autorizou, hoje (11/01), a 2ª revisão extraordinária da tarifa nas praças de pedágio da BR-050/DF/GO/MG, administrada pela concessionária MGO Rodovias. As novas tarifas entram em vigor à 0h do dia 12/1/2016. O objetivo da revisão tarifária con...</td>\n",
       "      <td>2729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) autorizou, hoje (27/5), a 3ª revisão ordinária, a 2ª revisão extraordinária, a aplicação do desconto de reequilíbrio e o reajuste da tarifa básica nas praças de pedágio da rodovia BR-101/BA/ES, trecho do entroncamento com a BA-698 (acesso a Mu...</td>\n",
       "      <td>2811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) autorizou, hoje (18/12), a alteração das tarifas de pedágio na rodovia BR-116-PR/SC, trecho Curitiba - div. SC/RS, administrada pela Autopista Planalto Sul; na BR-116/SP/PR, trecho São Paulo - Curitiba, administrada pela Concessionária Autopis...</td>\n",
       "      <td>3039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3.0</td>\n",
       "      <td>0.8972</td>\n",
       "      <td>Durante o feriado de Corpus Christi, comemorado na quinta-feira (19/06), a rodovia BR-116/SP/PR deve receber um aumento de 15% no tráfego. A empresa Autopista Régis Bittencourt, concessionária responsável pelo trecho, deve reforçar seu efetivo operacional para atender ao maior movimento de veíc...</td>\n",
       "      <td>2085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>3.0</td>\n",
       "      <td>0.8972</td>\n",
       "      <td>Durante o feriado de Corpus Christi, comemorado na quinta-feira (19/06), a rodovia BR-116/SP/PR deve receber um aumento de 15% no tráfego. A empresa Autopista Régis Bittencourt, concessionária responsável pelo trecho, deve reforçar seu efetivo operacional para atender ao maior movimento de veíc...</td>\n",
       "      <td>2082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>3.0</td>\n",
       "      <td>0.6950</td>\n",
       "      <td>Ao completar dez anos, a Agência Nacional de Transportes Terrestres (ANTT) deu demonstrações de que buscou inovar, ousar e não fugiu dos problemas. “Nós buscamos construir soluções”, afirmou o diretor-geral Bernardo Figueiredo, durante solenidade comemorativa ao aniversário da agência, nesta qu...</td>\n",
       "      <td>1319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A ANTT reuniu nesta terça-feira (27), no auditório sede Eliseu Resende, representantes e autoridades do governo brasileiro e holandês com o objetivo de apresentar e discutir as conclusões do Estudo Corredores Multi e Sincromodais, que resultarão num plano diretor para o corredor Mato Grosso e s...</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>O diretor-geral em exercício da Agência Nacional de Transportes Terrestres (ANTT), Ivo Borges, assinou convênio de cooperação técnica com a Associação Brasileira de Preservação Ferroviária (ABPF) para levantar o patrimônio histórico de ferrovias. No valor de R$ 386,8 mil, o termo de cooperação ...</td>\n",
       "      <td>1413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Hoje, a população do local recorre a ônibus velhos e veículos piratas. Vagões transportam apenas carga, mas consórcio fará estudo de viabilidade para levar passageiros Correio Braziliense – Cidades DF Amanda Maia Enquanto aguarda, por cerca de uma hora, o ônibus para Brasília, a empregada domés...</td>\n",
       "      <td>1856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Superintendência do Desenvolvimento do Nordeste (Sudene) e a Agência Nacional de Transporte Terrestre (ANTT) vão assinar um termo de cooperação técnica para fazer um estudo de viabilidade econômica do Trem do Sol, uma ferrovia para transportar passageiros, que seria iniciada em Salvador, na B...</td>\n",
       "      <td>1723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Na manhã de hoje, um grupo de professores e alunos da UPE faz uma caminhada do TIP a Nazaré da Mata, às 6h. O movimento visa chamar a atenção para o pleito de moradores da Mata Norte por transporte pela via férrea da região, desativada na década de 1980. A proposta depende do Ministério das Cid...</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A segunda etapa da obra da quarta faixa da BR-290/RS, conhecida como Free Way, agora pode ser acompanhada passo a passo virtualmente. Ao acessar o Observatório da Quarta Faixa pelo endereço eletrônico da empresa concessionária responsável pelo trecho, Concepa, os usuários da rodovia podem saber...</td>\n",
       "      <td>2168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>5.0</td>\n",
       "      <td>0.8832</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) aprovou hoje (2/4) a Resolução 4.655/2015, a qual altera a Resolução nº 4.510/2014, publicada em 19/12/2014, referente ao reajuste e à revisão da tarifa básica de pedágio da BR-116/SP/PR. O trecho é administrado pela concessionária Autopista R...</td>\n",
       "      <td>2413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>5.0</td>\n",
       "      <td>0.7523</td>\n",
       "      <td>As passagens dos ônibus interestaduais e internacionais serão reajustadas em 17,48%, a partir da zero hora da próxima terça-feira(15). A autorização foi dada pela Agência Nacional de Transportes Terrestres(ANTT), por meio de Resolução que será publicada no Diário Oficial da União, na próxima se...</td>\n",
       "      <td>357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>5.0</td>\n",
       "      <td>0.7095</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) aprovou hoje (20/01), por meio da Resolução nº 4.547, o reajuste e a revisão da tarifa básica de pedágio da BR-101/RJ, sob a responsabilidade da concessionária Autopista Fluminense. Os efeitos financeiros passam a valer a partir do dia 2/2. Na...</td>\n",
       "      <td>2354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>5.0</td>\n",
       "      <td>0.6845</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) aprovou hoje (23/12), por meio da resolução nº 4.515/2014, o reajuste e a revisão da tarifa básica de pedágio das BRs-116/RS e 392/RS, sob a responsabilidade da Concessionária de Rodovias do Sul S.A. – Ecosul. Os efeitos financeiros passam a v...</td>\n",
       "      <td>2338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>As praças de pedágio de Cristal (BR 116, km 430) e Pavão (BR 116, km 541), do pólo rodoviário de Pelotas, servirão como pontos de vacinação na segunda etapa da campanha nacional de prevenção a poliomielite. Equipes das secretarias de saúde de Cristal e Capão do Leão estarão vacinando todas as c...</td>\n",
       "      <td>927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Para possibilitar a montagem da estrutura de um viaduto no quilômetro 87 da Rio-Teresópolis-Além Paraíba (BR-116/RJ), na localidade de Comary, em Teresópolis, a Concessionária Rio-Teresópolis (CRT) interromperá o tráfego de veículos nesse trecho nas noites de terça, quarta e sexta-feira (13, 14...</td>\n",
       "      <td>936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Neste final de semana a Concessionária Rio-Teresópolis (CRT) dá início à Campanha do Agasalho com o recolhimento de doações de roupas nos pedágios da Rio-Teresópolis-Além Paraíba (BR-116/RJ). O material arrecadado será distribuído entre pessoas carentes de Teresópolis e de municípios da Baixada...</td>\n",
       "      <td>636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Quem escolher a Região Serrana para passar o final de semana prolongado pelo feriado de Corpus Christi poderá aliar lazer e ajuda ao próximo. É que, nesta quinta-feira (26/5), a Concessionária Rio-Teresópolis (CRT), administradora da Rio-Teresópolis-Além Paraíba (BR-116/RJ), dá início à Campanh...</td>\n",
       "      <td>881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Concessionária Rio-Teresópolis (CRT), administradora da Rio-Teresópolis-Além Paraíba (BR-116/RJ), está incomunicável desde o início da manhã de hoje (09/05) em decorrência do furto de cabos telefônicos na localidade de Parque Estrela, em Magé. Sendo assim, a CRT comunica a seus usuários que a...</td>\n",
       "      <td>864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Nesta sexta-feira (1/8), foram liberados três quilômetros de duplicação da BR-116/SP/PR, na Serra do Cafezal. A Autopista Régis Bittencourt, empresa concessionária responsável pelo trecho, realizou os trabalhos no novo trecho, que compreende dois segmentos no sentido São Paulo, entre o km 363 e...</td>\n",
       "      <td>2173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>O diretor-geral da ANTT, Jorge Bastos, visitou, na última segunda-feira (13/4), as obras da nova subida da serra de Petrópolis (RJ), na BR-040. Bastos estava acompanhado do ministro dos Transportes, Antonio Carlos Rodrigues, e de representantes da Concer, concessionária responsável pelo trecho....</td>\n",
       "      <td>2426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Nesta sexta-feira (1/8), foram liberados três quilômetros de duplicação da BR-116/SP/PR, na Serra do Cafezal. A Autopista Régis Bittencourt, empresa concessionária responsável pelo trecho, realizou os trabalhos no novo trecho, que compreende dois segmentos no sentido São Paulo, entre o km 363 e...</td>\n",
       "      <td>2172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) publicou no Diário Oficial da União desta sexta-feira (25/7) a autorização para a abertura do tráfego ferroviário comercial de cargas no trecho compreendido entre os pátios de Porto Nacional (Km 720) e Gurupi (Km 940), operado pela Valec. O tr...</td>\n",
       "      <td>2157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Os interessados em participar dos Chamamentos Públicos nº 6 a 11/2014 deverão protocolar, perante o Ministério dos Transportes, até o dia 29/07, requerimento de autorização para os estudos referentes à implantação de infraestrutura ferroviária prevista no Programa de Investimentos em Logística ...</td>\n",
       "      <td>2129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>COMUNICADO RELEVANTE Nº 01, DE 15 DE FEVEREIRO DE 2013 Na qualidade de Presidente da Audiência Pública nº 133/2013, designado pela Deliberação nº 04, de 10 de janeiro de 2013, venho tornar público que foi prorrogado o período para envio de contribuições das 18 horas do dia 15 de fevereiro de 20...</td>\n",
       "      <td>1524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) realizou, nesta terça-feira (24/1), a sessão presencial da Audiência Pública nº 010/2016, em São Paulo (SP). O objetivo do encontro foi receber contribuições para os estudos relativos à prorrogação do prazo do contrato de concessão ferroviária...</td>\n",
       "      <td>2917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) abre a Tomada de Subsídios nº 003/2017 a fim de obter contribuições para a consolidação de um manual para análise e execução de garantias de proposta, ofertadas pelos participantes em processos licitatórios, bem como de execução contratual de ...</td>\n",
       "      <td>3001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) abre a Tomada de Subsídio nº 004/2017 para discutir o tema \"Regulamento dos serviços associados ao transporte ferroviário de cargas: elementos conceituais\". Os interessados poderão participar até as 18h do dia 13/10/2017. Os documentos referen...</td>\n",
       "      <td>3003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) realiza na próxima sexta-feira (04/10), na sede da ANTT, no Auditório Eliseu Resende, de 14h às 18h, Audiência Pública nº 144/2013, aberta ao público, para colher sugestões e contribuições à proposta de Resolução que regulamenta a arrecadação ...</td>\n",
       "      <td>1740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A nova linha de trens de passageiros e de cargas entre Brasília-Anápolis-Goiânia sairá mesmo do papel. O consórcio já anunciado pelo diretor superintendente da Sudeco, Marcelo Dourado, tem prazo de 15 meses para concluir o trabalho. O trem terá velocidade média de até 150km/h e deverá percorrer...</td>\n",
       "      <td>1638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A EDLP e o Banco BTG Pactual entregaram na última sexta-feira (02/08) para o Governo do Estado de São Paulo os estudos dos trens intercidades. O material, com mais de 3.700 páginas, contempla as análises de engenharia, operação, demanda, entre outros, da concessão de um sistema ferroviário de p...</td>\n",
       "      <td>1688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Enquanto o projeto de construção do Trem de Alta Velocidade (TAV), conhecido como trem-bala, ainda está em discussão no âmbito do governo federal, outro projeto sobre trilhos, de iniciativa do setor privado, em parceria com o governo do Estado de São Paulo, já está com o processo licitatório de...</td>\n",
       "      <td>1564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Até o final desta semana, a Superintendência de Desenvolvimento do Centro-Oeste (Sudeco) lançará o edital para a contratação da empresa responsável pelo Estudo de Viabilidade Técnica, Econômica e Ambiental (EVTEA) sobre a implementação do transporte de passageiros por via férrea entre Luziânia ...</td>\n",
       "      <td>1565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>As obras do trem da Linha 13-Jade, que vai ligar a Estação Engenheiro Goulart, na zona leste de São Paulo, ao Aeroporto de Cumbica, em Guarulhos, começam nesta semana, segundo o secretário de Transportes Metropolitanos, Jurandir Fernandes. Em entrevista ao Estado, o secretário afirmou ainda, ne...</td>\n",
       "      <td>1833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>As concessionárias que venceram os leilões da 3ª Etapa de Concessões de Rodovias Federais já começaram os trabalhos iniciais nas rodovias, a cargo das respectivas concessionárias. Homens e máquinas trabalham nas BR-040 DF/GO/MG; BR-050/GO/MG; BR-060/153/262/DF/GO/MG; BR-163/MT e BR-163/MS. Os t...</td>\n",
       "      <td>2040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) e a Triunfo Participações e Investimentos assinaram, na manhã desta quinta (31/01), em cerimônia no Palácio do Planalto, o contrato de concessão da rodovia BR 060/153/262/DF/GO/MG, trecho de Brasília (DF) a Betim (MG). O trecho de 1.176,5 quil...</td>\n",
       "      <td>1868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Consórcio Planalto venceu, nesta quarta-feira (18/09), o leilão da BR-050/GO/MG ocorrido na BM&amp;FBOVESPA em São Paulo. Das oito propostas entregues na última sexta-feira (13/09), venceu a proposta de valor de pedágio de R$ 0,04534 por quilômetro de rodovia. O deságio – diferença do valor teto es...</td>\n",
       "      <td>1729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>As concessionárias que venceram os leilões da 3ª Etapa de Concessões de Rodovias Federais já começaram os trabalhos iniciais nas rodovias, a cargo das respectivas concessionárias. Homens e máquinas trabalham nas BR-040 DF/GO/MG; BR-050/GO/MG; BR-060/153/262/DF/GO/MG; BR-163/MT e BR-163/MS. Os t...</td>\n",
       "      <td>2041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>“Foi um sucesso o resultado do leilão da BR-163 (MT). Tivemos sete proponentes e um deságio de 52%. Isso mostra que a Agência Nacional de Transportes Terrestres (ANTT) e o governo federal estão no caminho certo”. Com essas palavras, o diretor-geral em exercício da ANTT, Jorge Bastos, definiu co...</td>\n",
       "      <td>1793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Com o auditório da Fundação Rio Verde lotado (mais de 500 pessoas), a ANTT realizou nesta sexta-feira (24/05), reunião participativa, na cidade de Lucas do Rio Verde (MT), para colher subsídios para as discussões para a elaboração dos estudos pertinentes à concessão do trecho ferroviário entre ...</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres definiu nesta quinta-feira (18), metas de produção e de redução de acidentes para as Ferrovias da Companhia Vale do Rio Doce (CVRD): Estrada de Ferro Vitória a Minas e Estrada de Ferro Carajás, para o qüinqüênio 2003/2007. Segundo o diretor-geral da ...</td>\n",
       "      <td>524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Pelo segundo mês consecutivo, a MRS Logística S.A. superou seu recorde de transporte, alcançando no mês de agosto a marca histórica de 6.763.241 toneladas transportadas. É o melhor desempenho da Companhia, superando o recorde anterior, que era de 6.577.494 toneladas transportadas, em julho dest...</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres definiu nesta quinta-feira (18) as novas metas de produção e de redução de acidentes para a Ferrovia Tereza Cristina S.A. (FTC) a vigorarem no qüinqüênio 2003/2007. As metas estão estabelecidas na Resolução nº 303/03, a ser publicada no Diário Oficia...</td>\n",
       "      <td>423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres definiu nesta quinta-feira (18) as novas metas de produção e de redução de acidentes para a Ferrovia América Latina Logística do Brasil S.A. a vigorarem no qüinqüênio 2003/2007. As metas estão estabelecidas em resolução a ser publicada no Diário Ofic...</td>\n",
       "      <td>422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>12.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres realiza em Montes Claros/MG, no dia 18, Reunião Participativa para ouvir manifestações da população local sobre o aproveitamento que será dado a trechos devolvidos da malha ferroviária da FCA em Minas, incluindo o que corta a cidade. O objetivo do en...</td>\n",
       "      <td>1823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>12.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres realiza em Vitória/ES no dia 09/12 Reunião Participativa para ouvir manifestações da população local sobre o aproveitamento que será dado a trechos da malha ferroviária que corta a cidade. O objetivo do encontro é ouvir o que a população sugere quant...</td>\n",
       "      <td>1810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>12.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>O servidor da ANTT e candidato à recondução para a Diretoria da Agência, Marcelo Vinaud Prado, foi sabatinado, na manhã de hoje (4/4), pela Comissão de Infraestrutura do Senado Federal. Muito elogiado por sua atuação no primeiro mandato, Vinaud recebeu 15 votos favoráveis e nenhum contrário à s...</td>\n",
       "      <td>2933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>12.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>O indicado à Diretoria da Agência Nacional de Transportes Terrestres (ANTT) Mário Rodrigues Júnior foi sabatinado pela Comissão de Infraestrutura (CI) do Senado Federal, na manhã desta terça-feira (16/8). Os senadores votaram a favor do indicado, com o total de 18 votos a favor e nenhum contra....</td>\n",
       "      <td>2853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>12.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Comissão de Infraestrutura (CI) do Senado Federal reúne-se, nesta terça-feira (16), para sabatinar Mário Rodrigues Júnior, indicado pelo presidente interino para a Diretoria da Agência Nacional de Transportes Terrestres (ANTT). A sessão da comissão terá início às 10h e contará com a sabatina,...</td>\n",
       "      <td>2852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Em ação de combate ao transporte clandestino semiurbano de passageiros, a equipe de fiscalização da Agência Nacional de Transportes Terrestres (ANTT) apreendeu quatro veículos. A apreensão se deu na região do entorno sul de Brasília, na cidade do Gama (DF). A operação, que contou com viaturas c...</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Os quatro mil passageiros que diariamente circulam pelo Terminal Rodoviário de Porto Alegre (RS) têm a partir desta quarta-feira (26/05) uma sala de atendimento da Agência Nacional de Transportes Terrestres para encaminhar sugestões, fazer reclamações ou receber orientações sobre o serviço de t...</td>\n",
       "      <td>631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Em ação de combate ao transporte clandestino semiurbano de passageiros, a equipe de fiscalização da Agência Nacional de Transportes Terrestres (ANTT) apreendeu quatro veículos. A apreensão se deu na região do entorno sul de Brasília, na cidade do Gama (DF). A operação, que contou com viaturas c...</td>\n",
       "      <td>2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) está realizando uma operação em Viana, no Espírito Santo, para impedir a atuação do transporte clandestino de passageiros no Estado. Até o momento 28 veículos foram vistoriados, dos quais apenas um foi apreendido. Foram expedidos 32 autos de i...</td>\n",
       "      <td>542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A fiscalização nos serviços de transporte rodoviário interestadual e internacional de passageiros realizada pela Agência Nacional de Transportes Terrestres (ANTT), entre os dias 08/02 e 22/02, resultou em mais de mil autos de infração. Essa fiscalização feita no âmbito nacional, nos terminais r...</td>\n",
       "      <td>1178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>14.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>ANTT estuda ampliar uso de transporte de passageiros por ferrovias A Agência Nacional de Transportes Terrestres (ANTT) publicou nesta terça-feira (19/03), portaria que constitui Grupo de Trabalho (GT) para a proposição e realização de estudos que possibilitem incrementar a participação do trans...</td>\n",
       "      <td>1547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>14.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) promoveu, ontem (10/11), um encontro com representantes de instituições do setor público sobre o projeto de corredores logísticos para o transporte multimodal de cargas. Na ocasião, o perito holandês Harrie de Leijer falou sobre experiências d...</td>\n",
       "      <td>2678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>14.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) realizou, de 28 a 30/9, o evento “XVII Reunião da Comissão de Seguimento do Acordo sobre Transporte Internacional Terrestre (Atit)”, em São Paulo (SP). Participaram da reunião representantes dos países, além do Brasil, Argentina, Bolívia, Chil...</td>\n",
       "      <td>2878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>14.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Um fórum adequado para a discussão de temas relacionados ao setor. Assim pode ser resumido o I Encontro Nacional do Transporte Rodoviário de Cargas, encerrado hoje (06/07), em Brasília. O evento reuniu, durante dois dias, representantes do governo federal, de universidades, empresários, produto...</td>\n",
       "      <td>914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>14.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) promoveu, nos dias 15 e 16/6, o “Seminário Transporte Multimodal: Experiências e Desafios do Brasil e União Europeia”. O evento realizou uma troca de experiências no desenvolvimento de corredores logísticos multimodais, propiciada pelo acordo ...</td>\n",
       "      <td>2823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) está indicada em duas categorias no P3 Awards, premiação destinada a reconhecer e condecorar iniciativas bem-sucedidas em parcerias público-privada (P3) firmadas no continente americano. Pelo segundo ano consecutivo, a ANTT concorre como “Melh...</td>\n",
       "      <td>2545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>O diretor-geral da Agência Nacional de Transportes Terrestres (ANTT), Jorge Bastos, participou, na manhã desta sexta-feira (07/08), da entrega da obra de ampliação da Avenida do Contorno do Barreto, em Niterói (RJ), na BR-101. Também estiveram presentes no evento o governador do Rio de Janeiro,...</td>\n",
       "      <td>2580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>O trânsito sobre a Ponte do Guaíba (BR-290/RS), no sentido Guaíba-Porto Alegre, no Estado do Rio Grande do Sul, ficará em meia pista entre às 20h desta sexta-feira (03/10) e 12h do próximo domingo (05/10). O motivo são obras de recuperação das juntas de dilatação do pavimento. Em nenhum momento...</td>\n",
       "      <td>440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) está indicada em duas categorias no P3 Awards, premiação destinada a reconhecer e condecorar iniciativas bem-sucedidas em parcerias público-privada (P3) firmadas no continente americano. Pelo segundo ano consecutivo, a ANTT concorre como “Melh...</td>\n",
       "      <td>2543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>O trânsito sobre a Ponte do Guaíba (BR-290/RS) ficará em meia pista no sentido Porto Alegre - Eldorado do Sul, entre às 20h desta sexta-feira (19/09) e meio-dia de domingo (21/09). O motivo são as obras de recuperação das juntas de dilatação do pavimento. Uma extensa sinalização de cones e seta...</td>\n",
       "      <td>425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>16.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) realizou uma grande operação de combate ao transporte clandestino no estado de São Paulo. Denominada Golfo de Áden, em alusão a uma região na costa da Somália de intensa pirataria, a operação foi desenvolvida em três etapas. A primeira ocorreu...</td>\n",
       "      <td>2242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>16.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) realizou operação especial de fiscalização para combater o transporte clandestino em São Paulo (SP), entre os dias 16 e 18/6 (fase urbana) e 20/6 e 21/6 (fase rural). A segunda edição da Operação Golfo de Áden ocorreu em duas etapas: a primeir...</td>\n",
       "      <td>2487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>16.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) realizou, entre os dias 7 e 13/7, a Operação Papa 2015, com foco no transporte internacional de passageiros nas fronteiras dos estados do Paraná e Mato Grosso do Sul, em função da visita do papa Francisco à Bolívia e ao Paraguai. Vinte agentes...</td>\n",
       "      <td>2525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>16.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) realizou uma grande operação de combate ao transporte clandestino no estado de São Paulo. Denominada Golfo de Áden, em alusão a uma região na costa da Somália de intensa pirataria, a operação foi desenvolvida em três etapas. A primeira ocorreu...</td>\n",
       "      <td>2243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>16.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) realizou uma grande operação de combate ao transporte clandestino no estado de São Paulo. Denominada Golfo de Áden, em alusão a uma região na costa da Somália de intensa pirataria, a operação foi desenvolvida em três etapas. A primeira ocorreu...</td>\n",
       "      <td>2255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>17.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Tem início às 12h desta sexta-feira (12/11) o esquema especial da Concessionária Rio-Teresópolis (CRT), administradora da Rio-Teresópolis-Além Paraíba (BR-116/RJ), para o final de semana prolongado pelo feriado do Dia da República. O plantão será mantido até a manhã de terça-feira (16/11). A co...</td>\n",
       "      <td>740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>17.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Nos dias de maior movimento – sexta-feira à tarde, sábado pela manhã e domingo à tarde – é estimada a passagem de uma média diária de 35 mil veículos pelos pedágios da rodovia. Normalmente, esse número é de 18 mil veículos/dia. Nos horários de maior fluxo, estarão de prontidão 10 papa-filas par...</td>\n",
       "      <td>723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>17.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Concessionária Rio-Teresópolis (CRT), administradora da Rio-Teresópolis-Além Paraíba (BR-116/RJ), dará início às 8h desta sexta-feira (4/02) ao esquema especial de plantão para o período de Carnaval. O esquema será mantido até às 8h do dia 10 (quinta-feira). O maior fluxo de veículos na ida, ...</td>\n",
       "      <td>790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>17.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Tem início às 8 horas da próxima sexta-feira (31/12) o esquema especial montado pela Concessionária Rio-Teresópolis (CRT), administradora da Rio-Teresópolis-Além Paraíba (BR-116/RJ), para o final de ano. O plantão será mantido até as 8h de segunda-feira (3/1). O maior fluxo de veículos deve se ...</td>\n",
       "      <td>768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>17.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Concessionária Ponte programou a operação especial da Ponte Rio-Niterói para o período de Natal, com início à zero hora de quinta-feira (23/12) e término à meia-noite de segunda-feira (27/12). Cerca de 162 mil veículos deverão passar pelo pedágio da ponte, somente entre quinta e sexta-feira -...</td>\n",
       "      <td>763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>18.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A NovaDutra (Concessionária da Rodovia Presidente Dutra S.A.), recomenda aos usuários que evitem trafegar pela rodovia entre 16h00 e 20h00 de quarta-feira (20/04) e das 07h00 às 10h00 de quinta-feira (21/04), quando deverá ocorrer o maior volume de tráfego na via Dutra. De acordo com a empresa,...</td>\n",
       "      <td>835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>18.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A NovaDutra (Concessionária da Rodovia Presidente Dutra S/A) informa aos usuários que na manhã do próximo sábado (07/01) a Via Dutra sofrerá interdições momentâneas na altura do km 212, em Paracambi (RJ), em ambos os sentidos, entre 06h00 e 09h00. As interdições são necessárias para a realizaçã...</td>\n",
       "      <td>995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>18.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Em Guarulhos (SP), no km 219, sentido SP-Rio, não há mais congestionamento. Em São João de Meriti (RJ), no km 169,1, sentido Rio-SP, há 1,1 quilômetro de congestionamento pela pista lateral devido ao excesso de veículos. Nos demais trechos da rodovia Presidente Dutra tráfego normal e tempo enco...</td>\n",
       "      <td>878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>18.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A NovaDutra (Concessionária da Rodovia Presidente Dutra S.A.), recomenda aos usuários que evitem trafegar pela rodovia entre 16h00 e 20h00 de quarta-feira (20/04) e das 07h00 às 10h00 de quinta-feira (21/04), quando deverá ocorrer o maior volume de tráfego na via Dutra. De acordo com a empresa,...</td>\n",
       "      <td>839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>18.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Assessoria de Comunicação Social da NOVADUTRA, concessionária que administra a BR 116 RJ/SP, informa que entre os dias 23 e 29 de setembro, estarão sendo realizadas obras de melhorias ao longo da rodovia. Veja abaixo, quais os trechos beneficiados: Drenagem e Bueiros · Entre os km 210 e 202 (...</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>19.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Foi realizada, na manhã desta terça-feira (4/8), a solenidade de posse dos novos diretores da Agência Nacional de Transportes Terrestres (ANTT). Carlos Fernando do Nascimento, Marcelo Bruto da Costa Correia, Marcelo Vinaud Prado e Sérgio de Assis Lobo juntam-se ao diretor-geral, Jorge Bastos, n...</td>\n",
       "      <td>2571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>19.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Foi realizada, na manhã desta terça-feira (4/8), a solenidade de posse dos novos diretores da Agência Nacional de Transportes Terrestres (ANTT). Carlos Fernando do Nascimento, Marcelo Bruto da Costa Correia, Marcelo Vinaud Prado e Sérgio de Assis Lobo juntam-se ao diretor-geral, Jorge Bastos, n...</td>\n",
       "      <td>2572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>19.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Foi publicada no Diário Oficial da União (DOU) de hoje (21/7) a nomeação, pela presidenta da República, Dilma Rousseff, de Carlos Fernando do Nascimento, Marcelo Bruto da Costa Correia, Marcelo Vinaud Prado e Sérgio de Assis Lobo para os cargos de diretores da Agência Nacional de Transportes Te...</td>\n",
       "      <td>2536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>19.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A recondução de Jorge Luiz Macedo Bastos ao cargo de diretor da Agencia Nacional de Transportes Terrestres (ANTT), com mandato até 18 de fevereiro de 2018, foi publicada no Diário Oficial da União (DOU) desta quinta-feira (27/02). No ano passado, Jorge Bastos assumiu o cargo de diretor-geral em...</td>\n",
       "      <td>1892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>19.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>O Plenário do Senado Federal aprovou na noite desta quarta-feira (19/02) a recondução de Jorge Bastos ao cargo de diretor da Agência Nacional de Transportes Terrestres (ANTT). Ele recebeu 49 votos a favor e 17 contra. A votação desta noite ratificou a decisão da Comissão de Serviços de Infraest...</td>\n",
       "      <td>1886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>20.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agencia Nacional de Transportes Terrestres (ANTT) apresentou, na tarde desta terça-feira (29), um balanço da operação de fiscalização de combate ao transporte clandestino de passageiros e fiscalização de cargas realizada no município de Guaraí, em Tocantins. A ação, que teve início na sexta-f...</td>\n",
       "      <td>1962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>20.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>O diretor da Agência Nacional de Transportes Terrestres (ANTT), Noboru Ofugi, vai coordenar a Reunião Preparatória Brasil-Chile, a ser realizada nesta quinta-feira (28/08), nas instalações da Companhia Docas de São Paulo, às 15:00h. Técnicos da Superintendência de Logística e Transporte Multimo...</td>\n",
       "      <td>390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>20.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>O diretor da Agência Nacional de Transportes Terrestres (ANTT), Noboru Ofugi, vai coordenar a 16ª Reunião Bilateral Brasil-Uruguai dos organismos de aplicação do Acordo sobre Transporte Internacional Terrestre (ATIT). Técnicos da Superintendência de Logística e Transporte Multimodal e da Superi...</td>\n",
       "      <td>394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>20.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>O diretor da Agência Nacional de Transportes Terrestres (ANTT), Noboru Ofugi, coordenou a 16ª Reunião Bilateral Brasil-Uruguai dos organismos de aplicação do Acordo sobre Transporte Internacional Terrestre (ATIT). Técnicos da Superintendência de Logística e Transporte Multimodal e da Superinten...</td>\n",
       "      <td>404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>20.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Nos dias 20 e 21/10, aconteceu, em Foz do Iguaçu (PR), a Reunião Bilateral Brasil/Argentina dos Organismos Nacionais Competentes de Aplicação do Acordo sobre Transporte Internacional Terrestre (ATIT) para tratar dos aspectos técnicos e operacionais do transporte rodoviário de carga e passageiro...</td>\n",
       "      <td>2597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>21.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) realiza amanhã (27/03), no auditório do edifício sede, em Brasília, Audiência Pública com o objetivo de obter subsídios e informações adicionais para a Proposta de Resolução que altera a Resolução ANTT nº 3.658, de 19 de abril de 2011, que reg...</td>\n",
       "      <td>1557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>21.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) realiza, nesta sexta-feira (28), em Palmas (TO), sessão pública para receber contribuições para aprimorar os estudos técnicos e as minutas do edital e do contrato da subconcessão da Ferrovia Norte-Sul (FNS), trecho do Porto Nacional (TO) a Est...</td>\n",
       "      <td>2982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>21.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Encontram-se disponíveis no site www.tavbrasil.gov.br, no link “Comissão de Avaliação”, “Atas de Esclarecimentos do Edital de Concessão e Minuta de Contrato de Concessão”, as Atas de Esclarecimentos do Edital e da Minuta de Contrato de Concessão atualizadas nesta sexta-feira (17). As atualizaçõ...</td>\n",
       "      <td>1230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>21.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>As Atas de Esclarecimentos do Edital e da Minuta de Contrato de Concessão foram atualizadas nesta quarta-feira (22). O material encontra-se disponível no site www.tavbrasil.gov.br, no link “Comissão de Avaliação”, “Atas de Esclarecimentos do Edital de Concessão e Minuta de Contrato de Concessão...</td>\n",
       "      <td>1231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>21.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) publicou nesta quinta-feira (3), no site www.tavbrasil.gov.br, no link “Comissão de Avaliação”, “Atas de Esclarecimentos do Edital de Concessão e Minuta de Contrato de Concessão”, as Atas de Esclarecimentos do Edital e da Minuta de Contrato de...</td>\n",
       "      <td>1259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>22.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>O usuário que transita pela BR-101/ES/BA, no trecho do entroncamento BA-698 (acesso a Mucuri) com a divisa ES/RJ, pode acessar informações sobre a via por meio do aplicativo para dispositivos móveis chamado “EcoRodoviasApp”. A empresa concessionária responsável pelo trecho, a Ecorodovias, també...</td>\n",
       "      <td>2131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>22.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>O usuário que transita pela BR-101/ES/BA, no trecho do entroncamento BA-698 (acesso a Mucuri) com a divisa ES/RJ, pode acessar informações sobre a via por meio do aplicativo para dispositivos móveis chamado “EcoRodoviasApp”. A empresa concessionária responsável pelo trecho, a Ecorodovias, també...</td>\n",
       "      <td>2132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>22.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>As chuvas que caem entre os estados do Paraná e Santa Catarina provocam transtornos na rodovia BR-116, exigindo atenção dos motoristas que trafegam nessa via, além de ter trechos interditados. Em Santa Catarina, há total interdição no km 74, com uma lâmina de água de aproximadamente um metro de...</td>\n",
       "      <td>2057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>22.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A reunião participativa da Agência Nacional de Transportes Terrestres (ANTT) para tomada de subsídios para a ferrovia Rio de Janeiro (RJ) – Vila Velha (ES), realizada nesta segunda-feira (24/06), no Rio de Janeiro, teve participação de 23 pessoas e 4 delas fizeram sua participação oral. A reuni...</td>\n",
       "      <td>1633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>23.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Os usuários das rodovias federais concedidas contarão com atendimento especial no feriado de Tiradentes. Concessionárias reforçam suas equipes do Sistema de Atendimento ao Usuário (SAU), a partir desta quarta-feira (20/4), quando o fluxo de veículos nas estradas aumenta. Serão realizadas também...</td>\n",
       "      <td>2789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>23.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Para atender com maior conforto os usuários das 14 concessionárias rodoviárias nos 4.763 km de rodovias federais concedidas, a Agência Nacional de Transportes Terrestres (ANTT) solicitou a elaboração de uma programação especial de operação para o feriado de Natal, que começa no dia 23 de dezemb...</td>\n",
       "      <td>1301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>23.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) divulgou, nesta quinta-feira (23), o resultado da Operação Carnaval 2012 nas rodovias federais concedidas. Nota-se que houve uma redução de 31,4% no número de acidentes em relação aos dados de 2011. A Operação Carnaval foi implementada nas 14 ...</td>\n",
       "      <td>1326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>23.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Os usuários das 14 rodovias federais concedidas podem contar, a partir do dia 17 de fevereiro, véspera de carnaval, com um reforço nos serviços a serem oferecidos pelas concessionárias, visando conforto, segurança, fluidez, orientação e confiabilidade. A ANTT solicitou às concessionárias a elab...</td>\n",
       "      <td>1317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>23.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) divulgou, nesta terça-feira (3), o resultado da movimentação de veículos durante o feriado do ano novo (30 de dezembro de 2011 a 1º de janeiro de 2012) nas rodovias federais concedidas. No total, foram contabilizados 769 acidentes, 380 vítimas...</td>\n",
       "      <td>1304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>24.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) divulgou, na semana passada, a lista de organizações designadas para certificação do Sistema de Monitoramento do Transporte Interestadual e Internacional Coletivo de Passageiros (Monitriip). Para ser designado como organismo de certificação, o...</td>\n",
       "      <td>2670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>24.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Termina, nesta sexta-feira (14/05), o prazo para o credenciamento das entidades ligadas ao Transporte Rodoviário de Cargas interessadas em formar parcerias com a Agência Nacional de Transportes Terrestres (ANTT) na solicitação do Registro Nacional de Transportadores Rodoviários de Carga (RNTRC)...</td>\n",
       "      <td>623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>24.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT), numa ação conjunta com a Agência Nacional de Petróleo (ANP), o Ibama e a Receita Federal, realizou, no início de maio, a primeira fiscalização do transporte rodoviário internacional de produtos perigosos no porto seco de Foz do Iguaçu/PR. A a...</td>\n",
       "      <td>2003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>24.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT), numa ação conjunta com a Agência Nacional de Petróleo (ANP), o Ibama e a Receita Federal, realizou, no início de maio, a primeira fiscalização do transporte rodoviário internacional de produtos perigosos no porto seco de Foz do Iguaçu/PR. A a...</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>24.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT), numa ação conjunta com a Agência Nacional de Petróleo (ANP), o Ibama e a Receita Federal, realizou, no início de maio, a primeira fiscalização do transporte rodoviário internacional de produtos perigosos no porto seco de Foz do Iguaçu/PR. A a...</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>25.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Hoje (18/05), entre 14h00 e 21h00, acontece o segundo e último dia do Programa Saúde do Caminhoneiro em Guarulhos (SP). Desenvolvido pela NovaDutra (Concessionária da Rodovia Presidente Dutra S.A.), o Programa tem por objetivo oferecer dicas de qualidade de vida e bem-estar ao motorista de cami...</td>\n",
       "      <td>872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>25.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) e a concessionária CCR NovaDutra realizaram, nesta terça-feira (20/10), mais uma ação da campanha ‘Vou de Cinto’, em frente à Balança de Resende (RJ), localizada no km 301 da via Dutra (BR-116/RJ/SP), na pista sentido São Paulo. Na ocasião, es...</td>\n",
       "      <td>2665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>25.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) realiza mais uma ação da campanha “Vou de Cinto”, que foi iniciada na tarde de ontem (10/8) e vai até a manhã desta terça-feira (11/8). A iniciativa visa conscientizar passageiros de ônibus sobre a importância do uso do cinto de segurança e ac...</td>\n",
       "      <td>2584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>25.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A via Dutra (BR-116/RJ/SP) recebe mais uma ação do Programa Estrada Sustentável. Uma parceria entre a Agência Nacional de Transportes Terrestres (ANTT) e a CCR NovaDutra, concessionária que administra a rodovia, realiza outra edição da campanha “Vou de Cinto”, nesta terça-feira (26/5), das 9h à...</td>\n",
       "      <td>2456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>25.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A NovaDutra (Concessionária da Rodovia Presidente Dutra) realizou hoje (25/11) em conjunto com o Ipem-SP (Instituto de Pesos e Medidas) e a Polícia Rodoviária Federal mais uma fiscalização de produtos perigosos. Durante a blitz, 10 veículos que transportavam cargas perigosas irregularmente na R...</td>\n",
       "      <td>974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>26.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Audiência pública em Belo Horizonte (MG) nesta quarta-feira (02/10), promovida pela Agência Nacional de Transportes Terrestres (ANTT), reuniu mais de 40 pessoas para conhecer e apresentar sugestões aos estudos de viabilidade técnica e econômica das rodovias BR-040/DF/GO/MG e BR-116/MG. A audiên...</td>\n",
       "      <td>1743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>26.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Audiência pública em Belo Horizonte (MG) nesta quarta-feira (02/10), promovida pela Agência Nacional de Transportes Terrestres (ANTT), reuniu mais de 40 pessoas para conhecer e apresentar sugestões aos estudos de viabilidade técnica e econômica das rodovias BR-040/DF/GO/MG e BR-116/MG. A audiên...</td>\n",
       "      <td>1745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>26.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) autorizou nesta quarta-feira (29), o reajuste da tarifa de pedágio da Ponte Rio-Niterói (BR-101/RJ), administrada pela concessionária Ponte S/A. Esse ano, a variação tarifária será de 5,26% fazendo com que o pedágio passe dos atuais R$ 3,80 pa...</td>\n",
       "      <td>1139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>26.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Audiência pública em Belo Horizonte (MG) nesta quarta-feira (02/10), promovida pela Agência Nacional de Transportes Terrestres (ANTT), reuniu mais de 40 pessoas para conhecer e apresentar sugestões aos estudos de viabilidade técnica e econômica das rodovias BR-040/DF/GO/MG e BR-116/MG. A audiên...</td>\n",
       "      <td>1752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>26.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Audiência pública em Belo Horizonte (MG) nesta quarta-feira (02/10), promovida pela Agência Nacional de Transportes Terrestres (ANTT), reuniu mais de 40 pessoas para conhecer e apresentar sugestões aos estudos de viabilidade técnica e econômica das rodovias BR-040/DF/GO/MG e BR-116/MG. A audiên...</td>\n",
       "      <td>1751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>27.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A ANTT concedeu autorização à empresa União Transportes Brasília Ltda (UTB) para operar em caráter emergencial durante seis meses, sem prorrogação, o serviço de transporte interestadual semiurbano de passageiros entre o Distrito Federal e Planaltina de Goiás. A empresa executará três serviços, ...</td>\n",
       "      <td>1682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>27.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Em decorrência de determinação judicial, que cassou decisão que autorizava a empresa Transportadora Três Irmãs Ltda operar a linha Brasília/DF – Planaltina (GO) e com o objetivo de não deixar que a redução da oferta prejudique a população local, a ANTT publicará amanhã (24/07) no D.O U. , Porta...</td>\n",
       "      <td>1671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>27.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres - ANTT - autorizou nesta segunda-feira (16), a FERROBAN - Ferrovias Bandeirantes S.A a fazer sua reestruturação societária. Cinco acionistas da empresa estarão transferindo 14,5% de ações ordinárias para a constituição de uma nova sociedade anônima, ...</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>27.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) publicou, nesta sexta-feira (22/8), autorização especial para a empresa Kandango Transportes e Turismos operar os serviços regulares de transporte interestadual semiurbano de passageiros nos trechos entre Brasília/DF – Planaltina/GO; Planaltin...</td>\n",
       "      <td>2200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>27.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A ANTT concedeu autorização à empresa União Transportes Brasília Ltda (UTB) para operar em caráter emergencial durante seis meses, sem prorrogação, o serviço de transporte interestadual semiurbano de passageiros entre o Distrito Federal e Planaltina de Goiás. A empresa executará três serviços, ...</td>\n",
       "      <td>1683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>28.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) disponibiliza documentos para a Audiência Pública nº 014/2017, com o objetivo de colher subsídios para aprimoramento da minuta de edital e dos estudos técnicos que se disciplinarão as condições da concessão da ferrovia greenfield Ferrogrão, co...</td>\n",
       "      <td>3029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>28.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A ANTT realizou hoje (09.05) a segunda reunião para tomada de subsídio para colher contribuições aos estudos preliminares para a implantação da ferrovia ligando Estrela D’Oeste (SP)-Panorama (SP)-Dourados (MS), constante do Programa de Investimentos em Logística (PIL), lançado em agosto do ano ...</td>\n",
       "      <td>1585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>28.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A ANTT realizou hoje (09.05) a segunda reunião para tomada de subsídio para colher contribuições aos estudos preliminares para a implantação da ferrovia ligando Estrela D’Oeste (SP)-Panorama (SP)-Dourados (MS), constante do Programa de Investimentos em Logística (PIL), lançado em agosto do ano ...</td>\n",
       "      <td>1582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>28.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A ANTT realizou hoje (09.05) a segunda reunião para tomada de subsídio para colher contribuições aos estudos preliminares para a implantação da ferrovia ligando Estrela D’Oeste (SP)-Panorama (SP)-Dourados (MS), constante do Programa de Investimentos em Logística (PIL), lançado em agosto do ano ...</td>\n",
       "      <td>1583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>28.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A ANTT realizou hoje (09.05) a segunda reunião para tomada de subsídio para colher contribuições aos estudos preliminares para a implantação da ferrovia ligando Estrela D’Oeste (SP)-Panorama (SP)-Dourados (MS), constante do Programa de Investimentos em Logística (PIL), lançado em agosto do ano ...</td>\n",
       "      <td>1584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) e a Concessionária da Rodovia Osório-Porto Alegre S/A (Concepa), empresa responsável pelo trecho, informam o andamento das obras da BR-290/RS, conhecida como Freeway, entre os km 75+040 e 94+300. Os trabalhos para a implantação da 4ª faixa ini...</td>\n",
       "      <td>2114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) e a Concessionária da Rodovia Osório-Porto Alegre S/A (Concepa), empresa responsável pelo trecho, informam o andamento das obras da BR-290/RS, conhecida como Freeway, entre os km 75+040 e 94+300. Os trabalhos para a implantação da 4ª faixa ini...</td>\n",
       "      <td>2115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) e a Concessionária da Rodovia Osório-Porto Alegre S/A (Concepa), empresa responsável pelo trecho, informam o andamento das obras da BR-290/RS, conhecida como Freeway, entre os km 75+040 e 94+300. Os trabalhos para a implantação da 4ª faixa ini...</td>\n",
       "      <td>2108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) e a Concessionária da Rodovia Osório-Porto Alegre S/A (Concepa), empresa responsável pelo trecho, informam o andamento das obras da BR-290/RS, conhecida como Freeway, entre os km 75+040 e 94+300. Os trabalhos para a implantação da 4ª faixa ini...</td>\n",
       "      <td>2109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>A Agência Nacional de Transportes Terrestres (ANTT) e a Concessionária da Rodovia Osório-Porto Alegre S/A (Concepa), empresa responsável pelo trecho, informam o andamento das obras da BR-290/RS, conhecida como Freeway, entre os km 75+040 e 94+300. Os trabalhos para a implantação da 4ª faixa ini...</td>\n",
       "      <td>2110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>30.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Na produção de junho, o Canal ANTT aproveita as férias escolares do próximo mês para explicar quais são as regras básicas para as crianças viajarem no transporte rodoviário interestadual. Confira no vídeo abaixo: Canal ANTT – A plataforma virtual foi criada no Youtube para aumentar a interação ...</td>\n",
       "      <td>3113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>30.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Em complemento à nota divulgada nesta quarta-feira (8) com relação à publicação da Lei 11.975/2009 que dispõe sobre a validade dos bilhetes de passagem no transporte coletivo rodoviário de passageiros, a Agência Nacional de Transportes Terrestres informa que até a devida adequação da regulament...</td>\n",
       "      <td>1129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>30.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Nesta sexta-feira (29/4), a ANTT lançou um novo vídeo em seu canal no YouTube, que trata sobre a Agenda Regulatória da Agência. De acordo com a programação do canal, todos os meses será divulgado um novo vídeo na ferramenta. O vídeo explica o que é a Agenda Regulatória, como ela funciona e de q...</td>\n",
       "      <td>2794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>30.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Passageiros regulares de ônibus interestaduais e internacionais e turistas em geral podem consultar no site da Agência Nacional de Transportes Terrestres (ANNT) www.antt.gov.br ou clicando aqui os seus direitos e quais as linhas de ônibus disponíveis para o destino desejado. Na página da Agênci...</td>\n",
       "      <td>1891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>30.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>Com o reajuste do coeficiente tarifário de 6,981% para os serviços de transporte rodoviário interestadual e internacional de passageiros, a partir da zero hora desta quinta-feira (03/09), já estão definidos os valores das tarifas em reais. Os interessados em conferir esses valores devem acessar...</td>\n",
       "      <td>1753</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Topic_Num  Topic_Perc_Contrib  \\\n",
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       "1          1.0              1.0000   \n",
       "2          1.0              1.0000   \n",
       "3          1.0              1.0000   \n",
       "4          1.0              1.0000   \n",
       "5          2.0              1.0000   \n",
       "6          2.0              1.0000   \n",
       "7          2.0              1.0000   \n",
       "8          2.0              1.0000   \n",
       "9          2.0              1.0000   \n",
       "10         3.0              0.8972   \n",
       "11         3.0              0.8972   \n",
       "12         3.0              0.6950   \n",
       "13         4.0              1.0000   \n",
       "14         4.0              1.0000   \n",
       "15         4.0              1.0000   \n",
       "16         4.0              1.0000   \n",
       "17         4.0              1.0000   \n",
       "18         5.0              1.0000   \n",
       "19         5.0              0.8832   \n",
       "20         5.0              0.7523   \n",
       "21         5.0              0.7095   \n",
       "22         5.0              0.6845   \n",
       "23         6.0              1.0000   \n",
       "24         6.0              1.0000   \n",
       "25         6.0              1.0000   \n",
       "26         6.0              1.0000   \n",
       "27         6.0              1.0000   \n",
       "28         7.0              1.0000   \n",
       "29         7.0              1.0000   \n",
       "30         7.0              1.0000   \n",
       "31         7.0              1.0000   \n",
       "32         7.0              1.0000   \n",
       "33         8.0              1.0000   \n",
       "34         8.0              1.0000   \n",
       "35         8.0              1.0000   \n",
       "36         8.0              1.0000   \n",
       "37         8.0              1.0000   \n",
       "38         9.0              1.0000   \n",
       "39         9.0              1.0000   \n",
       "40         9.0              1.0000   \n",
       "41         9.0              1.0000   \n",
       "42         9.0              1.0000   \n",
       "43        10.0              1.0000   \n",
       "44        10.0              1.0000   \n",
       "45        10.0              1.0000   \n",
       "46        10.0              1.0000   \n",
       "47        10.0              1.0000   \n",
       "48        11.0              1.0000   \n",
       "49        11.0              1.0000   \n",
       "50        11.0              1.0000   \n",
       "51        11.0              1.0000   \n",
       "52        11.0              1.0000   \n",
       "53        12.0              1.0000   \n",
       "54        12.0              1.0000   \n",
       "55        12.0              1.0000   \n",
       "56        12.0              1.0000   \n",
       "57        12.0              1.0000   \n",
       "58        13.0              1.0000   \n",
       "59        13.0              1.0000   \n",
       "60        13.0              1.0000   \n",
       "61        13.0              1.0000   \n",
       "62        13.0              1.0000   \n",
       "63        14.0              1.0000   \n",
       "64        14.0              1.0000   \n",
       "65        14.0              1.0000   \n",
       "66        14.0              1.0000   \n",
       "67        14.0              1.0000   \n",
       "68        15.0              1.0000   \n",
       "69        15.0              1.0000   \n",
       "70        15.0              1.0000   \n",
       "71        15.0              1.0000   \n",
       "72        15.0              1.0000   \n",
       "73        16.0              1.0000   \n",
       "74        16.0              1.0000   \n",
       "75        16.0              1.0000   \n",
       "76        16.0              1.0000   \n",
       "77        16.0              1.0000   \n",
       "78        17.0              1.0000   \n",
       "79        17.0              1.0000   \n",
       "80        17.0              1.0000   \n",
       "81        17.0              1.0000   \n",
       "82        17.0              1.0000   \n",
       "83        18.0              1.0000   \n",
       "84        18.0              1.0000   \n",
       "85        18.0              1.0000   \n",
       "86        18.0              1.0000   \n",
       "87        18.0              1.0000   \n",
       "88        19.0              1.0000   \n",
       "89        19.0              1.0000   \n",
       "90        19.0              1.0000   \n",
       "91        19.0              1.0000   \n",
       "92        19.0              1.0000   \n",
       "93        20.0              1.0000   \n",
       "94        20.0              1.0000   \n",
       "95        20.0              1.0000   \n",
       "96        20.0              1.0000   \n",
       "97        20.0              1.0000   \n",
       "98        21.0              1.0000   \n",
       "99        21.0              1.0000   \n",
       "100       21.0              1.0000   \n",
       "101       21.0              1.0000   \n",
       "102       21.0              1.0000   \n",
       "103       22.0              1.0000   \n",
       "104       22.0              1.0000   \n",
       "105       22.0              1.0000   \n",
       "106       22.0              1.0000   \n",
       "107       23.0              1.0000   \n",
       "108       23.0              1.0000   \n",
       "109       23.0              1.0000   \n",
       "110       23.0              1.0000   \n",
       "111       23.0              1.0000   \n",
       "112       24.0              1.0000   \n",
       "113       24.0              1.0000   \n",
       "114       24.0              1.0000   \n",
       "115       24.0              1.0000   \n",
       "116       24.0              1.0000   \n",
       "117       25.0              1.0000   \n",
       "118       25.0              1.0000   \n",
       "119       25.0              1.0000   \n",
       "120       25.0              1.0000   \n",
       "121       25.0              1.0000   \n",
       "122       26.0              1.0000   \n",
       "123       26.0              1.0000   \n",
       "124       26.0              1.0000   \n",
       "125       26.0              1.0000   \n",
       "126       26.0              1.0000   \n",
       "127       27.0              1.0000   \n",
       "128       27.0              1.0000   \n",
       "129       27.0              1.0000   \n",
       "130       27.0              1.0000   \n",
       "131       27.0              1.0000   \n",
       "132       28.0              1.0000   \n",
       "133       28.0              1.0000   \n",
       "134       28.0              1.0000   \n",
       "135       28.0              1.0000   \n",
       "136       28.0              1.0000   \n",
       "137       29.0              1.0000   \n",
       "138       29.0              1.0000   \n",
       "139       29.0              1.0000   \n",
       "140       29.0              1.0000   \n",
       "141       29.0              1.0000   \n",
       "142       30.0              1.0000   \n",
       "143       30.0              1.0000   \n",
       "144       30.0              1.0000   \n",
       "145       30.0              1.0000   \n",
       "146       30.0              1.0000   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                            Text  \\\n",
       "0     A Agência Nacional de Transportes Terrestres (ANTT), por meio da Resolução Nº 4.043, de 22/02/2013, autorizou o reajuste da tarifa de pedágio na BR-393/RJ, trecho Div. MG/RJ – Entr. BR-116 (DUTRA), explorado pela Rodovia do Aço S.A. O valor do reajuste foi de R$ 4,50 (quatro reais e cinquenta c...   \n",
       "1     A resolução nº 3.918 do diretor-geral em exercício da ANTT, Ivo Borges, autorizou hoje (22/10) reajuste da tarifa de pedágio da BR-290/RS, no trecho Osório-Porto Alegre-Entroncamento da BR 116 (Free Way). A tarifa básica foi reajustada, após arredondamento, para R$ 8,50 nas Praças de Pedágio P1...   \n",
       "2     A Agência Nacional de Transportes Terrestres (ANTT) publicou no Diário Oficial da União desta terça-feira (26), o reajuste das tarifas de pedágio da BR-101/RJ, trecho Divisa RJ/ES - Ponte Presidente Costa e Silva, administrada pela concessionária Autopista Fluminense. A variação tarifária é de ...   \n",
       "3     A Agência Nacional de Transportes Terrestres (ANTT) publicou no Diário Oficial da União desta terça-feira (02), o reajuste das tarifas de pedágio do trecho rodoviário administrado pela concessionária Rodovia do Aço S.A. (BR-393/RJ) que liga a divisa MG/RJ até o entroncamento com a Via Dutra (BR...   \n",
       "4     Os pedágios cobrados na Via Dutra terão novos valores a partir de 1 de agosto, data-base do reajuste anual previsto em contrato. Nas praças Moreira César, Itatiaia e Viúva Graça as tarifas serão de R$ 9,20. Em Jacareí, São Paulo, o valor será de R$ 4,10 e em Parateí Norte e Parateí Sul, o usuár...   \n",
       "5     A Agência Nacional de Transportes Terrestres (ANTT) autorizou, hoje (24/12), a 12ª Revisão Ordinária, a 8ª Revisão Extraordinária e o Reajuste da tarifa nas praças de pedágio das BR-116/RS e 392/RS, administrada pela concessionária Empresa Concessionária de Rodovias do Sul (ECOSUL). As novas ta...   \n",
       "6     A Agência Nacional de Transportes Terrestres (ANTT) autorizou, hoje (22/12), a alteração das tarifas de pedágio na rodovia BR-153/SP, trecho da Divisa MG/SP – Divisa SP/PR, administrada pela Transbrasiliana Concessionária de Rodovia S.A. Na Rodovia Transbrasiliana, os novos valores passam a vig...   \n",
       "7     A Agência Nacional de Transportes Terrestres (ANTT) autorizou, hoje (11/01), a 2ª revisão extraordinária da tarifa nas praças de pedágio da BR-050/DF/GO/MG, administrada pela concessionária MGO Rodovias. As novas tarifas entram em vigor à 0h do dia 12/1/2016. O objetivo da revisão tarifária con...   \n",
       "8     A Agência Nacional de Transportes Terrestres (ANTT) autorizou, hoje (27/5), a 3ª revisão ordinária, a 2ª revisão extraordinária, a aplicação do desconto de reequilíbrio e o reajuste da tarifa básica nas praças de pedágio da rodovia BR-101/BA/ES, trecho do entroncamento com a BA-698 (acesso a Mu...   \n",
       "9     A Agência Nacional de Transportes Terrestres (ANTT) autorizou, hoje (18/12), a alteração das tarifas de pedágio na rodovia BR-116-PR/SC, trecho Curitiba - div. SC/RS, administrada pela Autopista Planalto Sul; na BR-116/SP/PR, trecho São Paulo - Curitiba, administrada pela Concessionária Autopis...   \n",
       "10    Durante o feriado de Corpus Christi, comemorado na quinta-feira (19/06), a rodovia BR-116/SP/PR deve receber um aumento de 15% no tráfego. A empresa Autopista Régis Bittencourt, concessionária responsável pelo trecho, deve reforçar seu efetivo operacional para atender ao maior movimento de veíc...   \n",
       "11    Durante o feriado de Corpus Christi, comemorado na quinta-feira (19/06), a rodovia BR-116/SP/PR deve receber um aumento de 15% no tráfego. A empresa Autopista Régis Bittencourt, concessionária responsável pelo trecho, deve reforçar seu efetivo operacional para atender ao maior movimento de veíc...   \n",
       "12    Ao completar dez anos, a Agência Nacional de Transportes Terrestres (ANTT) deu demonstrações de que buscou inovar, ousar e não fugiu dos problemas. “Nós buscamos construir soluções”, afirmou o diretor-geral Bernardo Figueiredo, durante solenidade comemorativa ao aniversário da agência, nesta qu...   \n",
       "13    A ANTT reuniu nesta terça-feira (27), no auditório sede Eliseu Resende, representantes e autoridades do governo brasileiro e holandês com o objetivo de apresentar e discutir as conclusões do Estudo Corredores Multi e Sincromodais, que resultarão num plano diretor para o corredor Mato Grosso e s...   \n",
       "14    O diretor-geral em exercício da Agência Nacional de Transportes Terrestres (ANTT), Ivo Borges, assinou convênio de cooperação técnica com a Associação Brasileira de Preservação Ferroviária (ABPF) para levantar o patrimônio histórico de ferrovias. No valor de R$ 386,8 mil, o termo de cooperação ...   \n",
       "15    Hoje, a população do local recorre a ônibus velhos e veículos piratas. Vagões transportam apenas carga, mas consórcio fará estudo de viabilidade para levar passageiros Correio Braziliense – Cidades DF Amanda Maia Enquanto aguarda, por cerca de uma hora, o ônibus para Brasília, a empregada domés...   \n",
       "16    A Superintendência do Desenvolvimento do Nordeste (Sudene) e a Agência Nacional de Transporte Terrestre (ANTT) vão assinar um termo de cooperação técnica para fazer um estudo de viabilidade econômica do Trem do Sol, uma ferrovia para transportar passageiros, que seria iniciada em Salvador, na B...   \n",
       "17    Na manhã de hoje, um grupo de professores e alunos da UPE faz uma caminhada do TIP a Nazaré da Mata, às 6h. O movimento visa chamar a atenção para o pleito de moradores da Mata Norte por transporte pela via férrea da região, desativada na década de 1980. A proposta depende do Ministério das Cid...   \n",
       "18    A segunda etapa da obra da quarta faixa da BR-290/RS, conhecida como Free Way, agora pode ser acompanhada passo a passo virtualmente. Ao acessar o Observatório da Quarta Faixa pelo endereço eletrônico da empresa concessionária responsável pelo trecho, Concepa, os usuários da rodovia podem saber...   \n",
       "19    A Agência Nacional de Transportes Terrestres (ANTT) aprovou hoje (2/4) a Resolução 4.655/2015, a qual altera a Resolução nº 4.510/2014, publicada em 19/12/2014, referente ao reajuste e à revisão da tarifa básica de pedágio da BR-116/SP/PR. O trecho é administrado pela concessionária Autopista R...   \n",
       "20    As passagens dos ônibus interestaduais e internacionais serão reajustadas em 17,48%, a partir da zero hora da próxima terça-feira(15). A autorização foi dada pela Agência Nacional de Transportes Terrestres(ANTT), por meio de Resolução que será publicada no Diário Oficial da União, na próxima se...   \n",
       "21    A Agência Nacional de Transportes Terrestres (ANTT) aprovou hoje (20/01), por meio da Resolução nº 4.547, o reajuste e a revisão da tarifa básica de pedágio da BR-101/RJ, sob a responsabilidade da concessionária Autopista Fluminense. Os efeitos financeiros passam a valer a partir do dia 2/2. Na...   \n",
       "22    A Agência Nacional de Transportes Terrestres (ANTT) aprovou hoje (23/12), por meio da resolução nº 4.515/2014, o reajuste e a revisão da tarifa básica de pedágio das BRs-116/RS e 392/RS, sob a responsabilidade da Concessionária de Rodovias do Sul S.A. – Ecosul. Os efeitos financeiros passam a v...   \n",
       "23    As praças de pedágio de Cristal (BR 116, km 430) e Pavão (BR 116, km 541), do pólo rodoviário de Pelotas, servirão como pontos de vacinação na segunda etapa da campanha nacional de prevenção a poliomielite. Equipes das secretarias de saúde de Cristal e Capão do Leão estarão vacinando todas as c...   \n",
       "24    Para possibilitar a montagem da estrutura de um viaduto no quilômetro 87 da Rio-Teresópolis-Além Paraíba (BR-116/RJ), na localidade de Comary, em Teresópolis, a Concessionária Rio-Teresópolis (CRT) interromperá o tráfego de veículos nesse trecho nas noites de terça, quarta e sexta-feira (13, 14...   \n",
       "25    Neste final de semana a Concessionária Rio-Teresópolis (CRT) dá início à Campanha do Agasalho com o recolhimento de doações de roupas nos pedágios da Rio-Teresópolis-Além Paraíba (BR-116/RJ). O material arrecadado será distribuído entre pessoas carentes de Teresópolis e de municípios da Baixada...   \n",
       "26    Quem escolher a Região Serrana para passar o final de semana prolongado pelo feriado de Corpus Christi poderá aliar lazer e ajuda ao próximo. É que, nesta quinta-feira (26/5), a Concessionária Rio-Teresópolis (CRT), administradora da Rio-Teresópolis-Além Paraíba (BR-116/RJ), dá início à Campanh...   \n",
       "27    A Concessionária Rio-Teresópolis (CRT), administradora da Rio-Teresópolis-Além Paraíba (BR-116/RJ), está incomunicável desde o início da manhã de hoje (09/05) em decorrência do furto de cabos telefônicos na localidade de Parque Estrela, em Magé. Sendo assim, a CRT comunica a seus usuários que a...   \n",
       "28    Nesta sexta-feira (1/8), foram liberados três quilômetros de duplicação da BR-116/SP/PR, na Serra do Cafezal. A Autopista Régis Bittencourt, empresa concessionária responsável pelo trecho, realizou os trabalhos no novo trecho, que compreende dois segmentos no sentido São Paulo, entre o km 363 e...   \n",
       "29    O diretor-geral da ANTT, Jorge Bastos, visitou, na última segunda-feira (13/4), as obras da nova subida da serra de Petrópolis (RJ), na BR-040. Bastos estava acompanhado do ministro dos Transportes, Antonio Carlos Rodrigues, e de representantes da Concer, concessionária responsável pelo trecho....   \n",
       "30    Nesta sexta-feira (1/8), foram liberados três quilômetros de duplicação da BR-116/SP/PR, na Serra do Cafezal. A Autopista Régis Bittencourt, empresa concessionária responsável pelo trecho, realizou os trabalhos no novo trecho, que compreende dois segmentos no sentido São Paulo, entre o km 363 e...   \n",
       "31    A Agência Nacional de Transportes Terrestres (ANTT) publicou no Diário Oficial da União desta sexta-feira (25/7) a autorização para a abertura do tráfego ferroviário comercial de cargas no trecho compreendido entre os pátios de Porto Nacional (Km 720) e Gurupi (Km 940), operado pela Valec. O tr...   \n",
       "32    Os interessados em participar dos Chamamentos Públicos nº 6 a 11/2014 deverão protocolar, perante o Ministério dos Transportes, até o dia 29/07, requerimento de autorização para os estudos referentes à implantação de infraestrutura ferroviária prevista no Programa de Investimentos em Logística ...   \n",
       "33    COMUNICADO RELEVANTE Nº 01, DE 15 DE FEVEREIRO DE 2013 Na qualidade de Presidente da Audiência Pública nº 133/2013, designado pela Deliberação nº 04, de 10 de janeiro de 2013, venho tornar público que foi prorrogado o período para envio de contribuições das 18 horas do dia 15 de fevereiro de 20...   \n",
       "34    A Agência Nacional de Transportes Terrestres (ANTT) realizou, nesta terça-feira (24/1), a sessão presencial da Audiência Pública nº 010/2016, em São Paulo (SP). O objetivo do encontro foi receber contribuições para os estudos relativos à prorrogação do prazo do contrato de concessão ferroviária...   \n",
       "35    A Agência Nacional de Transportes Terrestres (ANTT) abre a Tomada de Subsídios nº 003/2017 a fim de obter contribuições para a consolidação de um manual para análise e execução de garantias de proposta, ofertadas pelos participantes em processos licitatórios, bem como de execução contratual de ...   \n",
       "36    A Agência Nacional de Transportes Terrestres (ANTT) abre a Tomada de Subsídio nº 004/2017 para discutir o tema \"Regulamento dos serviços associados ao transporte ferroviário de cargas: elementos conceituais\". Os interessados poderão participar até as 18h do dia 13/10/2017. Os documentos referen...   \n",
       "37    A Agência Nacional de Transportes Terrestres (ANTT) realiza na próxima sexta-feira (04/10), na sede da ANTT, no Auditório Eliseu Resende, de 14h às 18h, Audiência Pública nº 144/2013, aberta ao público, para colher sugestões e contribuições à proposta de Resolução que regulamenta a arrecadação ...   \n",
       "38    A nova linha de trens de passageiros e de cargas entre Brasília-Anápolis-Goiânia sairá mesmo do papel. O consórcio já anunciado pelo diretor superintendente da Sudeco, Marcelo Dourado, tem prazo de 15 meses para concluir o trabalho. O trem terá velocidade média de até 150km/h e deverá percorrer...   \n",
       "39    A EDLP e o Banco BTG Pactual entregaram na última sexta-feira (02/08) para o Governo do Estado de São Paulo os estudos dos trens intercidades. O material, com mais de 3.700 páginas, contempla as análises de engenharia, operação, demanda, entre outros, da concessão de um sistema ferroviário de p...   \n",
       "40    Enquanto o projeto de construção do Trem de Alta Velocidade (TAV), conhecido como trem-bala, ainda está em discussão no âmbito do governo federal, outro projeto sobre trilhos, de iniciativa do setor privado, em parceria com o governo do Estado de São Paulo, já está com o processo licitatório de...   \n",
       "41    Até o final desta semana, a Superintendência de Desenvolvimento do Centro-Oeste (Sudeco) lançará o edital para a contratação da empresa responsável pelo Estudo de Viabilidade Técnica, Econômica e Ambiental (EVTEA) sobre a implementação do transporte de passageiros por via férrea entre Luziânia ...   \n",
       "42    As obras do trem da Linha 13-Jade, que vai ligar a Estação Engenheiro Goulart, na zona leste de São Paulo, ao Aeroporto de Cumbica, em Guarulhos, começam nesta semana, segundo o secretário de Transportes Metropolitanos, Jurandir Fernandes. Em entrevista ao Estado, o secretário afirmou ainda, ne...   \n",
       "43    As concessionárias que venceram os leilões da 3ª Etapa de Concessões de Rodovias Federais já começaram os trabalhos iniciais nas rodovias, a cargo das respectivas concessionárias. Homens e máquinas trabalham nas BR-040 DF/GO/MG; BR-050/GO/MG; BR-060/153/262/DF/GO/MG; BR-163/MT e BR-163/MS. Os t...   \n",
       "44    A Agência Nacional de Transportes Terrestres (ANTT) e a Triunfo Participações e Investimentos assinaram, na manhã desta quinta (31/01), em cerimônia no Palácio do Planalto, o contrato de concessão da rodovia BR 060/153/262/DF/GO/MG, trecho de Brasília (DF) a Betim (MG). O trecho de 1.176,5 quil...   \n",
       "45    Consórcio Planalto venceu, nesta quarta-feira (18/09), o leilão da BR-050/GO/MG ocorrido na BM&FBOVESPA em São Paulo. Das oito propostas entregues na última sexta-feira (13/09), venceu a proposta de valor de pedágio de R$ 0,04534 por quilômetro de rodovia. O deságio – diferença do valor teto es...   \n",
       "46    As concessionárias que venceram os leilões da 3ª Etapa de Concessões de Rodovias Federais já começaram os trabalhos iniciais nas rodovias, a cargo das respectivas concessionárias. Homens e máquinas trabalham nas BR-040 DF/GO/MG; BR-050/GO/MG; BR-060/153/262/DF/GO/MG; BR-163/MT e BR-163/MS. Os t...   \n",
       "47    “Foi um sucesso o resultado do leilão da BR-163 (MT). Tivemos sete proponentes e um deságio de 52%. Isso mostra que a Agência Nacional de Transportes Terrestres (ANTT) e o governo federal estão no caminho certo”. Com essas palavras, o diretor-geral em exercício da ANTT, Jorge Bastos, definiu co...   \n",
       "48    Com o auditório da Fundação Rio Verde lotado (mais de 500 pessoas), a ANTT realizou nesta sexta-feira (24/05), reunião participativa, na cidade de Lucas do Rio Verde (MT), para colher subsídios para as discussões para a elaboração dos estudos pertinentes à concessão do trecho ferroviário entre ...   \n",
       "49    A Agência Nacional de Transportes Terrestres definiu nesta quinta-feira (18), metas de produção e de redução de acidentes para as Ferrovias da Companhia Vale do Rio Doce (CVRD): Estrada de Ferro Vitória a Minas e Estrada de Ferro Carajás, para o qüinqüênio 2003/2007. Segundo o diretor-geral da ...   \n",
       "50    Pelo segundo mês consecutivo, a MRS Logística S.A. superou seu recorde de transporte, alcançando no mês de agosto a marca histórica de 6.763.241 toneladas transportadas. É o melhor desempenho da Companhia, superando o recorde anterior, que era de 6.577.494 toneladas transportadas, em julho dest...   \n",
       "51    A Agência Nacional de Transportes Terrestres definiu nesta quinta-feira (18) as novas metas de produção e de redução de acidentes para a Ferrovia Tereza Cristina S.A. (FTC) a vigorarem no qüinqüênio 2003/2007. As metas estão estabelecidas na Resolução nº 303/03, a ser publicada no Diário Oficia...   \n",
       "52    A Agência Nacional de Transportes Terrestres definiu nesta quinta-feira (18) as novas metas de produção e de redução de acidentes para a Ferrovia América Latina Logística do Brasil S.A. a vigorarem no qüinqüênio 2003/2007. As metas estão estabelecidas em resolução a ser publicada no Diário Ofic...   \n",
       "53    A Agência Nacional de Transportes Terrestres realiza em Montes Claros/MG, no dia 18, Reunião Participativa para ouvir manifestações da população local sobre o aproveitamento que será dado a trechos devolvidos da malha ferroviária da FCA em Minas, incluindo o que corta a cidade. O objetivo do en...   \n",
       "54    A Agência Nacional de Transportes Terrestres realiza em Vitória/ES no dia 09/12 Reunião Participativa para ouvir manifestações da população local sobre o aproveitamento que será dado a trechos da malha ferroviária que corta a cidade. O objetivo do encontro é ouvir o que a população sugere quant...   \n",
       "55    O servidor da ANTT e candidato à recondução para a Diretoria da Agência, Marcelo Vinaud Prado, foi sabatinado, na manhã de hoje (4/4), pela Comissão de Infraestrutura do Senado Federal. Muito elogiado por sua atuação no primeiro mandato, Vinaud recebeu 15 votos favoráveis e nenhum contrário à s...   \n",
       "56    O indicado à Diretoria da Agência Nacional de Transportes Terrestres (ANTT) Mário Rodrigues Júnior foi sabatinado pela Comissão de Infraestrutura (CI) do Senado Federal, na manhã desta terça-feira (16/8). Os senadores votaram a favor do indicado, com o total de 18 votos a favor e nenhum contra....   \n",
       "57    A Comissão de Infraestrutura (CI) do Senado Federal reúne-se, nesta terça-feira (16), para sabatinar Mário Rodrigues Júnior, indicado pelo presidente interino para a Diretoria da Agência Nacional de Transportes Terrestres (ANTT). A sessão da comissão terá início às 10h e contará com a sabatina,...   \n",
       "58    Em ação de combate ao transporte clandestino semiurbano de passageiros, a equipe de fiscalização da Agência Nacional de Transportes Terrestres (ANTT) apreendeu quatro veículos. A apreensão se deu na região do entorno sul de Brasília, na cidade do Gama (DF). A operação, que contou com viaturas c...   \n",
       "59    Os quatro mil passageiros que diariamente circulam pelo Terminal Rodoviário de Porto Alegre (RS) têm a partir desta quarta-feira (26/05) uma sala de atendimento da Agência Nacional de Transportes Terrestres para encaminhar sugestões, fazer reclamações ou receber orientações sobre o serviço de t...   \n",
       "60    Em ação de combate ao transporte clandestino semiurbano de passageiros, a equipe de fiscalização da Agência Nacional de Transportes Terrestres (ANTT) apreendeu quatro veículos. A apreensão se deu na região do entorno sul de Brasília, na cidade do Gama (DF). A operação, que contou com viaturas c...   \n",
       "61    A Agência Nacional de Transportes Terrestres (ANTT) está realizando uma operação em Viana, no Espírito Santo, para impedir a atuação do transporte clandestino de passageiros no Estado. Até o momento 28 veículos foram vistoriados, dos quais apenas um foi apreendido. Foram expedidos 32 autos de i...   \n",
       "62    A fiscalização nos serviços de transporte rodoviário interestadual e internacional de passageiros realizada pela Agência Nacional de Transportes Terrestres (ANTT), entre os dias 08/02 e 22/02, resultou em mais de mil autos de infração. Essa fiscalização feita no âmbito nacional, nos terminais r...   \n",
       "63    ANTT estuda ampliar uso de transporte de passageiros por ferrovias A Agência Nacional de Transportes Terrestres (ANTT) publicou nesta terça-feira (19/03), portaria que constitui Grupo de Trabalho (GT) para a proposição e realização de estudos que possibilitem incrementar a participação do trans...   \n",
       "64    A Agência Nacional de Transportes Terrestres (ANTT) promoveu, ontem (10/11), um encontro com representantes de instituições do setor público sobre o projeto de corredores logísticos para o transporte multimodal de cargas. Na ocasião, o perito holandês Harrie de Leijer falou sobre experiências d...   \n",
       "65    A Agência Nacional de Transportes Terrestres (ANTT) realizou, de 28 a 30/9, o evento “XVII Reunião da Comissão de Seguimento do Acordo sobre Transporte Internacional Terrestre (Atit)”, em São Paulo (SP). Participaram da reunião representantes dos países, além do Brasil, Argentina, Bolívia, Chil...   \n",
       "66    Um fórum adequado para a discussão de temas relacionados ao setor. Assim pode ser resumido o I Encontro Nacional do Transporte Rodoviário de Cargas, encerrado hoje (06/07), em Brasília. O evento reuniu, durante dois dias, representantes do governo federal, de universidades, empresários, produto...   \n",
       "67    A Agência Nacional de Transportes Terrestres (ANTT) promoveu, nos dias 15 e 16/6, o “Seminário Transporte Multimodal: Experiências e Desafios do Brasil e União Europeia”. O evento realizou uma troca de experiências no desenvolvimento de corredores logísticos multimodais, propiciada pelo acordo ...   \n",
       "68    A Agência Nacional de Transportes Terrestres (ANTT) está indicada em duas categorias no P3 Awards, premiação destinada a reconhecer e condecorar iniciativas bem-sucedidas em parcerias público-privada (P3) firmadas no continente americano. Pelo segundo ano consecutivo, a ANTT concorre como “Melh...   \n",
       "69    O diretor-geral da Agência Nacional de Transportes Terrestres (ANTT), Jorge Bastos, participou, na manhã desta sexta-feira (07/08), da entrega da obra de ampliação da Avenida do Contorno do Barreto, em Niterói (RJ), na BR-101. Também estiveram presentes no evento o governador do Rio de Janeiro,...   \n",
       "70    O trânsito sobre a Ponte do Guaíba (BR-290/RS), no sentido Guaíba-Porto Alegre, no Estado do Rio Grande do Sul, ficará em meia pista entre às 20h desta sexta-feira (03/10) e 12h do próximo domingo (05/10). O motivo são obras de recuperação das juntas de dilatação do pavimento. Em nenhum momento...   \n",
       "71    A Agência Nacional de Transportes Terrestres (ANTT) está indicada em duas categorias no P3 Awards, premiação destinada a reconhecer e condecorar iniciativas bem-sucedidas em parcerias público-privada (P3) firmadas no continente americano. Pelo segundo ano consecutivo, a ANTT concorre como “Melh...   \n",
       "72    O trânsito sobre a Ponte do Guaíba (BR-290/RS) ficará em meia pista no sentido Porto Alegre - Eldorado do Sul, entre às 20h desta sexta-feira (19/09) e meio-dia de domingo (21/09). O motivo são as obras de recuperação das juntas de dilatação do pavimento. Uma extensa sinalização de cones e seta...   \n",
       "73    A Agência Nacional de Transportes Terrestres (ANTT) realizou uma grande operação de combate ao transporte clandestino no estado de São Paulo. Denominada Golfo de Áden, em alusão a uma região na costa da Somália de intensa pirataria, a operação foi desenvolvida em três etapas. A primeira ocorreu...   \n",
       "74    A Agência Nacional de Transportes Terrestres (ANTT) realizou operação especial de fiscalização para combater o transporte clandestino em São Paulo (SP), entre os dias 16 e 18/6 (fase urbana) e 20/6 e 21/6 (fase rural). A segunda edição da Operação Golfo de Áden ocorreu em duas etapas: a primeir...   \n",
       "75    A Agência Nacional de Transportes Terrestres (ANTT) realizou, entre os dias 7 e 13/7, a Operação Papa 2015, com foco no transporte internacional de passageiros nas fronteiras dos estados do Paraná e Mato Grosso do Sul, em função da visita do papa Francisco à Bolívia e ao Paraguai. Vinte agentes...   \n",
       "76    A Agência Nacional de Transportes Terrestres (ANTT) realizou uma grande operação de combate ao transporte clandestino no estado de São Paulo. Denominada Golfo de Áden, em alusão a uma região na costa da Somália de intensa pirataria, a operação foi desenvolvida em três etapas. A primeira ocorreu...   \n",
       "77    A Agência Nacional de Transportes Terrestres (ANTT) realizou uma grande operação de combate ao transporte clandestino no estado de São Paulo. Denominada Golfo de Áden, em alusão a uma região na costa da Somália de intensa pirataria, a operação foi desenvolvida em três etapas. A primeira ocorreu...   \n",
       "78    Tem início às 12h desta sexta-feira (12/11) o esquema especial da Concessionária Rio-Teresópolis (CRT), administradora da Rio-Teresópolis-Além Paraíba (BR-116/RJ), para o final de semana prolongado pelo feriado do Dia da República. O plantão será mantido até a manhã de terça-feira (16/11). A co...   \n",
       "79    Nos dias de maior movimento – sexta-feira à tarde, sábado pela manhã e domingo à tarde – é estimada a passagem de uma média diária de 35 mil veículos pelos pedágios da rodovia. Normalmente, esse número é de 18 mil veículos/dia. Nos horários de maior fluxo, estarão de prontidão 10 papa-filas par...   \n",
       "80    A Concessionária Rio-Teresópolis (CRT), administradora da Rio-Teresópolis-Além Paraíba (BR-116/RJ), dará início às 8h desta sexta-feira (4/02) ao esquema especial de plantão para o período de Carnaval. O esquema será mantido até às 8h do dia 10 (quinta-feira). O maior fluxo de veículos na ida, ...   \n",
       "81    Tem início às 8 horas da próxima sexta-feira (31/12) o esquema especial montado pela Concessionária Rio-Teresópolis (CRT), administradora da Rio-Teresópolis-Além Paraíba (BR-116/RJ), para o final de ano. O plantão será mantido até as 8h de segunda-feira (3/1). O maior fluxo de veículos deve se ...   \n",
       "82    A Concessionária Ponte programou a operação especial da Ponte Rio-Niterói para o período de Natal, com início à zero hora de quinta-feira (23/12) e término à meia-noite de segunda-feira (27/12). Cerca de 162 mil veículos deverão passar pelo pedágio da ponte, somente entre quinta e sexta-feira -...   \n",
       "83    A NovaDutra (Concessionária da Rodovia Presidente Dutra S.A.), recomenda aos usuários que evitem trafegar pela rodovia entre 16h00 e 20h00 de quarta-feira (20/04) e das 07h00 às 10h00 de quinta-feira (21/04), quando deverá ocorrer o maior volume de tráfego na via Dutra. De acordo com a empresa,...   \n",
       "84    A NovaDutra (Concessionária da Rodovia Presidente Dutra S/A) informa aos usuários que na manhã do próximo sábado (07/01) a Via Dutra sofrerá interdições momentâneas na altura do km 212, em Paracambi (RJ), em ambos os sentidos, entre 06h00 e 09h00. As interdições são necessárias para a realizaçã...   \n",
       "85    Em Guarulhos (SP), no km 219, sentido SP-Rio, não há mais congestionamento. Em São João de Meriti (RJ), no km 169,1, sentido Rio-SP, há 1,1 quilômetro de congestionamento pela pista lateral devido ao excesso de veículos. Nos demais trechos da rodovia Presidente Dutra tráfego normal e tempo enco...   \n",
       "86    A NovaDutra (Concessionária da Rodovia Presidente Dutra S.A.), recomenda aos usuários que evitem trafegar pela rodovia entre 16h00 e 20h00 de quarta-feira (20/04) e das 07h00 às 10h00 de quinta-feira (21/04), quando deverá ocorrer o maior volume de tráfego na via Dutra. De acordo com a empresa,...   \n",
       "87    A Assessoria de Comunicação Social da NOVADUTRA, concessionária que administra a BR 116 RJ/SP, informa que entre os dias 23 e 29 de setembro, estarão sendo realizadas obras de melhorias ao longo da rodovia. Veja abaixo, quais os trechos beneficiados: Drenagem e Bueiros · Entre os km 210 e 202 (...   \n",
       "88    Foi realizada, na manhã desta terça-feira (4/8), a solenidade de posse dos novos diretores da Agência Nacional de Transportes Terrestres (ANTT). Carlos Fernando do Nascimento, Marcelo Bruto da Costa Correia, Marcelo Vinaud Prado e Sérgio de Assis Lobo juntam-se ao diretor-geral, Jorge Bastos, n...   \n",
       "89    Foi realizada, na manhã desta terça-feira (4/8), a solenidade de posse dos novos diretores da Agência Nacional de Transportes Terrestres (ANTT). Carlos Fernando do Nascimento, Marcelo Bruto da Costa Correia, Marcelo Vinaud Prado e Sérgio de Assis Lobo juntam-se ao diretor-geral, Jorge Bastos, n...   \n",
       "90    Foi publicada no Diário Oficial da União (DOU) de hoje (21/7) a nomeação, pela presidenta da República, Dilma Rousseff, de Carlos Fernando do Nascimento, Marcelo Bruto da Costa Correia, Marcelo Vinaud Prado e Sérgio de Assis Lobo para os cargos de diretores da Agência Nacional de Transportes Te...   \n",
       "91    A recondução de Jorge Luiz Macedo Bastos ao cargo de diretor da Agencia Nacional de Transportes Terrestres (ANTT), com mandato até 18 de fevereiro de 2018, foi publicada no Diário Oficial da União (DOU) desta quinta-feira (27/02). No ano passado, Jorge Bastos assumiu o cargo de diretor-geral em...   \n",
       "92    O Plenário do Senado Federal aprovou na noite desta quarta-feira (19/02) a recondução de Jorge Bastos ao cargo de diretor da Agência Nacional de Transportes Terrestres (ANTT). Ele recebeu 49 votos a favor e 17 contra. A votação desta noite ratificou a decisão da Comissão de Serviços de Infraest...   \n",
       "93    A Agencia Nacional de Transportes Terrestres (ANTT) apresentou, na tarde desta terça-feira (29), um balanço da operação de fiscalização de combate ao transporte clandestino de passageiros e fiscalização de cargas realizada no município de Guaraí, em Tocantins. A ação, que teve início na sexta-f...   \n",
       "94    O diretor da Agência Nacional de Transportes Terrestres (ANTT), Noboru Ofugi, vai coordenar a Reunião Preparatória Brasil-Chile, a ser realizada nesta quinta-feira (28/08), nas instalações da Companhia Docas de São Paulo, às 15:00h. Técnicos da Superintendência de Logística e Transporte Multimo...   \n",
       "95    O diretor da Agência Nacional de Transportes Terrestres (ANTT), Noboru Ofugi, vai coordenar a 16ª Reunião Bilateral Brasil-Uruguai dos organismos de aplicação do Acordo sobre Transporte Internacional Terrestre (ATIT). Técnicos da Superintendência de Logística e Transporte Multimodal e da Superi...   \n",
       "96    O diretor da Agência Nacional de Transportes Terrestres (ANTT), Noboru Ofugi, coordenou a 16ª Reunião Bilateral Brasil-Uruguai dos organismos de aplicação do Acordo sobre Transporte Internacional Terrestre (ATIT). Técnicos da Superintendência de Logística e Transporte Multimodal e da Superinten...   \n",
       "97    Nos dias 20 e 21/10, aconteceu, em Foz do Iguaçu (PR), a Reunião Bilateral Brasil/Argentina dos Organismos Nacionais Competentes de Aplicação do Acordo sobre Transporte Internacional Terrestre (ATIT) para tratar dos aspectos técnicos e operacionais do transporte rodoviário de carga e passageiro...   \n",
       "98    A Agência Nacional de Transportes Terrestres (ANTT) realiza amanhã (27/03), no auditório do edifício sede, em Brasília, Audiência Pública com o objetivo de obter subsídios e informações adicionais para a Proposta de Resolução que altera a Resolução ANTT nº 3.658, de 19 de abril de 2011, que reg...   \n",
       "99    A Agência Nacional de Transportes Terrestres (ANTT) realiza, nesta sexta-feira (28), em Palmas (TO), sessão pública para receber contribuições para aprimorar os estudos técnicos e as minutas do edital e do contrato da subconcessão da Ferrovia Norte-Sul (FNS), trecho do Porto Nacional (TO) a Est...   \n",
       "100   Encontram-se disponíveis no site www.tavbrasil.gov.br, no link “Comissão de Avaliação”, “Atas de Esclarecimentos do Edital de Concessão e Minuta de Contrato de Concessão”, as Atas de Esclarecimentos do Edital e da Minuta de Contrato de Concessão atualizadas nesta sexta-feira (17). As atualizaçõ...   \n",
       "101   As Atas de Esclarecimentos do Edital e da Minuta de Contrato de Concessão foram atualizadas nesta quarta-feira (22). O material encontra-se disponível no site www.tavbrasil.gov.br, no link “Comissão de Avaliação”, “Atas de Esclarecimentos do Edital de Concessão e Minuta de Contrato de Concessão...   \n",
       "102   A Agência Nacional de Transportes Terrestres (ANTT) publicou nesta quinta-feira (3), no site www.tavbrasil.gov.br, no link “Comissão de Avaliação”, “Atas de Esclarecimentos do Edital de Concessão e Minuta de Contrato de Concessão”, as Atas de Esclarecimentos do Edital e da Minuta de Contrato de...   \n",
       "103   O usuário que transita pela BR-101/ES/BA, no trecho do entroncamento BA-698 (acesso a Mucuri) com a divisa ES/RJ, pode acessar informações sobre a via por meio do aplicativo para dispositivos móveis chamado “EcoRodoviasApp”. A empresa concessionária responsável pelo trecho, a Ecorodovias, també...   \n",
       "104   O usuário que transita pela BR-101/ES/BA, no trecho do entroncamento BA-698 (acesso a Mucuri) com a divisa ES/RJ, pode acessar informações sobre a via por meio do aplicativo para dispositivos móveis chamado “EcoRodoviasApp”. A empresa concessionária responsável pelo trecho, a Ecorodovias, també...   \n",
       "105   As chuvas que caem entre os estados do Paraná e Santa Catarina provocam transtornos na rodovia BR-116, exigindo atenção dos motoristas que trafegam nessa via, além de ter trechos interditados. Em Santa Catarina, há total interdição no km 74, com uma lâmina de água de aproximadamente um metro de...   \n",
       "106   A reunião participativa da Agência Nacional de Transportes Terrestres (ANTT) para tomada de subsídios para a ferrovia Rio de Janeiro (RJ) – Vila Velha (ES), realizada nesta segunda-feira (24/06), no Rio de Janeiro, teve participação de 23 pessoas e 4 delas fizeram sua participação oral. A reuni...   \n",
       "107   Os usuários das rodovias federais concedidas contarão com atendimento especial no feriado de Tiradentes. Concessionárias reforçam suas equipes do Sistema de Atendimento ao Usuário (SAU), a partir desta quarta-feira (20/4), quando o fluxo de veículos nas estradas aumenta. Serão realizadas também...   \n",
       "108   Para atender com maior conforto os usuários das 14 concessionárias rodoviárias nos 4.763 km de rodovias federais concedidas, a Agência Nacional de Transportes Terrestres (ANTT) solicitou a elaboração de uma programação especial de operação para o feriado de Natal, que começa no dia 23 de dezemb...   \n",
       "109   A Agência Nacional de Transportes Terrestres (ANTT) divulgou, nesta quinta-feira (23), o resultado da Operação Carnaval 2012 nas rodovias federais concedidas. Nota-se que houve uma redução de 31,4% no número de acidentes em relação aos dados de 2011. A Operação Carnaval foi implementada nas 14 ...   \n",
       "110   Os usuários das 14 rodovias federais concedidas podem contar, a partir do dia 17 de fevereiro, véspera de carnaval, com um reforço nos serviços a serem oferecidos pelas concessionárias, visando conforto, segurança, fluidez, orientação e confiabilidade. A ANTT solicitou às concessionárias a elab...   \n",
       "111   A Agência Nacional de Transportes Terrestres (ANTT) divulgou, nesta terça-feira (3), o resultado da movimentação de veículos durante o feriado do ano novo (30 de dezembro de 2011 a 1º de janeiro de 2012) nas rodovias federais concedidas. No total, foram contabilizados 769 acidentes, 380 vítimas...   \n",
       "112   A Agência Nacional de Transportes Terrestres (ANTT) divulgou, na semana passada, a lista de organizações designadas para certificação do Sistema de Monitoramento do Transporte Interestadual e Internacional Coletivo de Passageiros (Monitriip). Para ser designado como organismo de certificação, o...   \n",
       "113   Termina, nesta sexta-feira (14/05), o prazo para o credenciamento das entidades ligadas ao Transporte Rodoviário de Cargas interessadas em formar parcerias com a Agência Nacional de Transportes Terrestres (ANTT) na solicitação do Registro Nacional de Transportadores Rodoviários de Carga (RNTRC)...   \n",
       "114   A Agência Nacional de Transportes Terrestres (ANTT), numa ação conjunta com a Agência Nacional de Petróleo (ANP), o Ibama e a Receita Federal, realizou, no início de maio, a primeira fiscalização do transporte rodoviário internacional de produtos perigosos no porto seco de Foz do Iguaçu/PR. A a...   \n",
       "115   A Agência Nacional de Transportes Terrestres (ANTT), numa ação conjunta com a Agência Nacional de Petróleo (ANP), o Ibama e a Receita Federal, realizou, no início de maio, a primeira fiscalização do transporte rodoviário internacional de produtos perigosos no porto seco de Foz do Iguaçu/PR. A a...   \n",
       "116   A Agência Nacional de Transportes Terrestres (ANTT), numa ação conjunta com a Agência Nacional de Petróleo (ANP), o Ibama e a Receita Federal, realizou, no início de maio, a primeira fiscalização do transporte rodoviário internacional de produtos perigosos no porto seco de Foz do Iguaçu/PR. A a...   \n",
       "117   Hoje (18/05), entre 14h00 e 21h00, acontece o segundo e último dia do Programa Saúde do Caminhoneiro em Guarulhos (SP). Desenvolvido pela NovaDutra (Concessionária da Rodovia Presidente Dutra S.A.), o Programa tem por objetivo oferecer dicas de qualidade de vida e bem-estar ao motorista de cami...   \n",
       "118   A Agência Nacional de Transportes Terrestres (ANTT) e a concessionária CCR NovaDutra realizaram, nesta terça-feira (20/10), mais uma ação da campanha ‘Vou de Cinto’, em frente à Balança de Resende (RJ), localizada no km 301 da via Dutra (BR-116/RJ/SP), na pista sentido São Paulo. Na ocasião, es...   \n",
       "119   A Agência Nacional de Transportes Terrestres (ANTT) realiza mais uma ação da campanha “Vou de Cinto”, que foi iniciada na tarde de ontem (10/8) e vai até a manhã desta terça-feira (11/8). A iniciativa visa conscientizar passageiros de ônibus sobre a importância do uso do cinto de segurança e ac...   \n",
       "120   A via Dutra (BR-116/RJ/SP) recebe mais uma ação do Programa Estrada Sustentável. Uma parceria entre a Agência Nacional de Transportes Terrestres (ANTT) e a CCR NovaDutra, concessionária que administra a rodovia, realiza outra edição da campanha “Vou de Cinto”, nesta terça-feira (26/5), das 9h à...   \n",
       "121   A NovaDutra (Concessionária da Rodovia Presidente Dutra) realizou hoje (25/11) em conjunto com o Ipem-SP (Instituto de Pesos e Medidas) e a Polícia Rodoviária Federal mais uma fiscalização de produtos perigosos. Durante a blitz, 10 veículos que transportavam cargas perigosas irregularmente na R...   \n",
       "122   Audiência pública em Belo Horizonte (MG) nesta quarta-feira (02/10), promovida pela Agência Nacional de Transportes Terrestres (ANTT), reuniu mais de 40 pessoas para conhecer e apresentar sugestões aos estudos de viabilidade técnica e econômica das rodovias BR-040/DF/GO/MG e BR-116/MG. A audiên...   \n",
       "123   Audiência pública em Belo Horizonte (MG) nesta quarta-feira (02/10), promovida pela Agência Nacional de Transportes Terrestres (ANTT), reuniu mais de 40 pessoas para conhecer e apresentar sugestões aos estudos de viabilidade técnica e econômica das rodovias BR-040/DF/GO/MG e BR-116/MG. A audiên...   \n",
       "124   A Agência Nacional de Transportes Terrestres (ANTT) autorizou nesta quarta-feira (29), o reajuste da tarifa de pedágio da Ponte Rio-Niterói (BR-101/RJ), administrada pela concessionária Ponte S/A. Esse ano, a variação tarifária será de 5,26% fazendo com que o pedágio passe dos atuais R$ 3,80 pa...   \n",
       "125   Audiência pública em Belo Horizonte (MG) nesta quarta-feira (02/10), promovida pela Agência Nacional de Transportes Terrestres (ANTT), reuniu mais de 40 pessoas para conhecer e apresentar sugestões aos estudos de viabilidade técnica e econômica das rodovias BR-040/DF/GO/MG e BR-116/MG. A audiên...   \n",
       "126   Audiência pública em Belo Horizonte (MG) nesta quarta-feira (02/10), promovida pela Agência Nacional de Transportes Terrestres (ANTT), reuniu mais de 40 pessoas para conhecer e apresentar sugestões aos estudos de viabilidade técnica e econômica das rodovias BR-040/DF/GO/MG e BR-116/MG. A audiên...   \n",
       "127   A ANTT concedeu autorização à empresa União Transportes Brasília Ltda (UTB) para operar em caráter emergencial durante seis meses, sem prorrogação, o serviço de transporte interestadual semiurbano de passageiros entre o Distrito Federal e Planaltina de Goiás. A empresa executará três serviços, ...   \n",
       "128   Em decorrência de determinação judicial, que cassou decisão que autorizava a empresa Transportadora Três Irmãs Ltda operar a linha Brasília/DF – Planaltina (GO) e com o objetivo de não deixar que a redução da oferta prejudique a população local, a ANTT publicará amanhã (24/07) no D.O U. , Porta...   \n",
       "129   A Agência Nacional de Transportes Terrestres - ANTT - autorizou nesta segunda-feira (16), a FERROBAN - Ferrovias Bandeirantes S.A a fazer sua reestruturação societária. Cinco acionistas da empresa estarão transferindo 14,5% de ações ordinárias para a constituição de uma nova sociedade anônima, ...   \n",
       "130   A Agência Nacional de Transportes Terrestres (ANTT) publicou, nesta sexta-feira (22/8), autorização especial para a empresa Kandango Transportes e Turismos operar os serviços regulares de transporte interestadual semiurbano de passageiros nos trechos entre Brasília/DF – Planaltina/GO; Planaltin...   \n",
       "131   A ANTT concedeu autorização à empresa União Transportes Brasília Ltda (UTB) para operar em caráter emergencial durante seis meses, sem prorrogação, o serviço de transporte interestadual semiurbano de passageiros entre o Distrito Federal e Planaltina de Goiás. A empresa executará três serviços, ...   \n",
       "132   A Agência Nacional de Transportes Terrestres (ANTT) disponibiliza documentos para a Audiência Pública nº 014/2017, com o objetivo de colher subsídios para aprimoramento da minuta de edital e dos estudos técnicos que se disciplinarão as condições da concessão da ferrovia greenfield Ferrogrão, co...   \n",
       "133   A ANTT realizou hoje (09.05) a segunda reunião para tomada de subsídio para colher contribuições aos estudos preliminares para a implantação da ferrovia ligando Estrela D’Oeste (SP)-Panorama (SP)-Dourados (MS), constante do Programa de Investimentos em Logística (PIL), lançado em agosto do ano ...   \n",
       "134   A ANTT realizou hoje (09.05) a segunda reunião para tomada de subsídio para colher contribuições aos estudos preliminares para a implantação da ferrovia ligando Estrela D’Oeste (SP)-Panorama (SP)-Dourados (MS), constante do Programa de Investimentos em Logística (PIL), lançado em agosto do ano ...   \n",
       "135   A ANTT realizou hoje (09.05) a segunda reunião para tomada de subsídio para colher contribuições aos estudos preliminares para a implantação da ferrovia ligando Estrela D’Oeste (SP)-Panorama (SP)-Dourados (MS), constante do Programa de Investimentos em Logística (PIL), lançado em agosto do ano ...   \n",
       "136   A ANTT realizou hoje (09.05) a segunda reunião para tomada de subsídio para colher contribuições aos estudos preliminares para a implantação da ferrovia ligando Estrela D’Oeste (SP)-Panorama (SP)-Dourados (MS), constante do Programa de Investimentos em Logística (PIL), lançado em agosto do ano ...   \n",
       "137   A Agência Nacional de Transportes Terrestres (ANTT) e a Concessionária da Rodovia Osório-Porto Alegre S/A (Concepa), empresa responsável pelo trecho, informam o andamento das obras da BR-290/RS, conhecida como Freeway, entre os km 75+040 e 94+300. Os trabalhos para a implantação da 4ª faixa ini...   \n",
       "138   A Agência Nacional de Transportes Terrestres (ANTT) e a Concessionária da Rodovia Osório-Porto Alegre S/A (Concepa), empresa responsável pelo trecho, informam o andamento das obras da BR-290/RS, conhecida como Freeway, entre os km 75+040 e 94+300. Os trabalhos para a implantação da 4ª faixa ini...   \n",
       "139   A Agência Nacional de Transportes Terrestres (ANTT) e a Concessionária da Rodovia Osório-Porto Alegre S/A (Concepa), empresa responsável pelo trecho, informam o andamento das obras da BR-290/RS, conhecida como Freeway, entre os km 75+040 e 94+300. Os trabalhos para a implantação da 4ª faixa ini...   \n",
       "140   A Agência Nacional de Transportes Terrestres (ANTT) e a Concessionária da Rodovia Osório-Porto Alegre S/A (Concepa), empresa responsável pelo trecho, informam o andamento das obras da BR-290/RS, conhecida como Freeway, entre os km 75+040 e 94+300. Os trabalhos para a implantação da 4ª faixa ini...   \n",
       "141   A Agência Nacional de Transportes Terrestres (ANTT) e a Concessionária da Rodovia Osório-Porto Alegre S/A (Concepa), empresa responsável pelo trecho, informam o andamento das obras da BR-290/RS, conhecida como Freeway, entre os km 75+040 e 94+300. Os trabalhos para a implantação da 4ª faixa ini...   \n",
       "142   Na produção de junho, o Canal ANTT aproveita as férias escolares do próximo mês para explicar quais são as regras básicas para as crianças viajarem no transporte rodoviário interestadual. Confira no vídeo abaixo: Canal ANTT – A plataforma virtual foi criada no Youtube para aumentar a interação ...   \n",
       "143   Em complemento à nota divulgada nesta quarta-feira (8) com relação à publicação da Lei 11.975/2009 que dispõe sobre a validade dos bilhetes de passagem no transporte coletivo rodoviário de passageiros, a Agência Nacional de Transportes Terrestres informa que até a devida adequação da regulament...   \n",
       "144   Nesta sexta-feira (29/4), a ANTT lançou um novo vídeo em seu canal no YouTube, que trata sobre a Agenda Regulatória da Agência. De acordo com a programação do canal, todos os meses será divulgado um novo vídeo na ferramenta. O vídeo explica o que é a Agenda Regulatória, como ela funciona e de q...   \n",
       "145   Passageiros regulares de ônibus interestaduais e internacionais e turistas em geral podem consultar no site da Agência Nacional de Transportes Terrestres (ANNT) www.antt.gov.br ou clicando aqui os seus direitos e quais as linhas de ônibus disponíveis para o destino desejado. Na página da Agênci...   \n",
       "146   Com o reajuste do coeficiente tarifário de 6,981% para os serviços de transporte rodoviário interestadual e internacional de passageiros, a partir da zero hora desta quinta-feira (03/09), já estão definidos os valores das tarifas em reais. Os interessados em conferir esses valores devem acessar...   \n",
       "\n",
       "       Id  \n",
       "0    1531  \n",
       "1    1431  \n",
       "2    1172  \n",
       "3    1182  \n",
       "4    1209  \n",
       "5    2723  \n",
       "6    3044  \n",
       "7    2729  \n",
       "8    2811  \n",
       "9    3039  \n",
       "10   2085  \n",
       "11   2082  \n",
       "12   1319  \n",
       "13   2018  \n",
       "14   1413  \n",
       "15   1856  \n",
       "16   1723  \n",
       "17   2015  \n",
       "18   2168  \n",
       "19   2413  \n",
       "20    357  \n",
       "21   2354  \n",
       "22   2338  \n",
       "23    927  \n",
       "24    936  \n",
       "25    636  \n",
       "26    881  \n",
       "27    864  \n",
       "28   2173  \n",
       "29   2426  \n",
       "30   2172  \n",
       "31   2157  \n",
       "32   2129  \n",
       "33   1524  \n",
       "34   2917  \n",
       "35   3001  \n",
       "36   3003  \n",
       "37   1740  \n",
       "38   1638  \n",
       "39   1688  \n",
       "40   1564  \n",
       "41   1565  \n",
       "42   1833  \n",
       "43   2040  \n",
       "44   1868  \n",
       "45   1729  \n",
       "46   2041  \n",
       "47   1793  \n",
       "48   1600  \n",
       "49    524  \n",
       "50     21  \n",
       "51    423  \n",
       "52    422  \n",
       "53   1823  \n",
       "54   1810  \n",
       "55   2933  \n",
       "56   2853  \n",
       "57   2852  \n",
       "58   2021  \n",
       "59    631  \n",
       "60   2023  \n",
       "61    542  \n",
       "62   1178  \n",
       "63   1547  \n",
       "64   2678  \n",
       "65   2878  \n",
       "66    914  \n",
       "67   2823  \n",
       "68   2545  \n",
       "69   2580  \n",
       "70    440  \n",
       "71   2543  \n",
       "72    425  \n",
       "73   2242  \n",
       "74   2487  \n",
       "75   2525  \n",
       "76   2243  \n",
       "77   2255  \n",
       "78    740  \n",
       "79    723  \n",
       "80    790  \n",
       "81    768  \n",
       "82    763  \n",
       "83    835  \n",
       "84    995  \n",
       "85    878  \n",
       "86    839  \n",
       "87     48  \n",
       "88   2571  \n",
       "89   2572  \n",
       "90   2536  \n",
       "91   1892  \n",
       "92   1886  \n",
       "93   1962  \n",
       "94    390  \n",
       "95    394  \n",
       "96    404  \n",
       "97   2597  \n",
       "98   1557  \n",
       "99   2982  \n",
       "100  1230  \n",
       "101  1231  \n",
       "102  1259  \n",
       "103  2131  \n",
       "104  2132  \n",
       "105  2057  \n",
       "106  1633  \n",
       "107  2789  \n",
       "108  1301  \n",
       "109  1326  \n",
       "110  1317  \n",
       "111  1304  \n",
       "112  2670  \n",
       "113   623  \n",
       "114  2003  \n",
       "115  2004  \n",
       "116  2005  \n",
       "117   872  \n",
       "118  2665  \n",
       "119  2584  \n",
       "120  2456  \n",
       "121   974  \n",
       "122  1743  \n",
       "123  1745  \n",
       "124  1139  \n",
       "125  1752  \n",
       "126  1751  \n",
       "127  1682  \n",
       "128  1671  \n",
       "129    34  \n",
       "130  2200  \n",
       "131  1683  \n",
       "132  3029  \n",
       "133  1585  \n",
       "134  1582  \n",
       "135  1583  \n",
       "136  1584  \n",
       "137  2114  \n",
       "138  2115  \n",
       "139  2108  \n",
       "140  2109  \n",
       "141  2110  \n",
       "142  3113  \n",
       "143  1129  \n",
       "144  2794  \n",
       "145  1891  \n",
       "146  1753  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "topics_final"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Análise Longitudinal"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Indexação dos anos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "index_2002_init = 0\n",
    "index_2003_init = 182\n",
    "index_2004_init = 539\n",
    "index_2005_init = 770\n",
    "index_2006_init = 994\n",
    "index_2007_init = 1054\n",
    "index_2008_init = 1073\n",
    "index_2009_init = 1107\n",
    "index_2010_init = 1171\n",
    "index_2011_init = 1249\n",
    "index_2012_init = 1304\n",
    "index_2013_init = 1480\n",
    "index_2014_init = 1840\n",
    "index_2015_init = 2344\n",
    "index_2016_init = 2726\n",
    "index_2017_init = 2909\n",
    "index_2018_init = 3049\n",
    "index_2018_end = 3115\n",
    "\n",
    "indexes = [index_2002_init,index_2003_init,index_2004_init,\n",
    "           index_2005_init,index_2006_init,index_2007_init,index_2008_init,index_2009_init,index_2010_init,\n",
    "           index_2011_init,index_2012_init,index_2013_init,index_2014_init,index_2015_init,index_2016_init,\n",
    "           index_2017_init,index_2018_init,index_2018_end\n",
    "          ]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Representatividade (theta) por ano em todos os topicos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a0e3df0b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a0e3df2b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a0e3df470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a0e4c5080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a19bdb3c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a1d21c390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a2422ba58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a245bf748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a24add828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a2625d978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a26e2d860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a26e06eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a26e0e9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a0e5de9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a0e2994a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a26da6320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a26fbc668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Ano</th>\n",
       "      <th>T1</th>\n",
       "      <th>T2</th>\n",
       "      <th>T3</th>\n",
       "      <th>T4</th>\n",
       "      <th>T5</th>\n",
       "      <th>T6</th>\n",
       "      <th>T7</th>\n",
       "      <th>T8</th>\n",
       "      <th>T9</th>\n",
       "      <th>...</th>\n",
       "      <th>T22</th>\n",
       "      <th>T23</th>\n",
       "      <th>T24</th>\n",
       "      <th>T25</th>\n",
       "      <th>T26</th>\n",
       "      <th>T27</th>\n",
       "      <th>T28</th>\n",
       "      <th>T29</th>\n",
       "      <th>T30</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2002.0</td>\n",
       "      <td>9.022471e-03</td>\n",
       "      <td>6.399740e-04</td>\n",
       "      <td>2.731582e-04</td>\n",
       "      <td>0.134380</td>\n",
       "      <td>0.001024</td>\n",
       "      <td>0.064551</td>\n",
       "      <td>7.980227e-04</td>\n",
       "      <td>0.005095</td>\n",
       "      <td>0.035399</td>\n",
       "      <td>...</td>\n",
       "      <td>3.238502e-06</td>\n",
       "      <td>2.745869e-02</td>\n",
       "      <td>0.043041</td>\n",
       "      <td>3.410711e-02</td>\n",
       "      <td>0.028486</td>\n",
       "      <td>0.079132</td>\n",
       "      <td>0.011936</td>\n",
       "      <td>0.017316</td>\n",
       "      <td>0.041613</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2003.0</td>\n",
       "      <td>2.830299e-06</td>\n",
       "      <td>2.830299e-06</td>\n",
       "      <td>1.588821e-03</td>\n",
       "      <td>0.111930</td>\n",
       "      <td>0.002854</td>\n",
       "      <td>0.140014</td>\n",
       "      <td>8.465978e-04</td>\n",
       "      <td>0.041015</td>\n",
       "      <td>0.025917</td>\n",
       "      <td>...</td>\n",
       "      <td>5.512002e-05</td>\n",
       "      <td>3.124091e-02</td>\n",
       "      <td>0.024410</td>\n",
       "      <td>1.364206e-02</td>\n",
       "      <td>0.015043</td>\n",
       "      <td>0.050614</td>\n",
       "      <td>0.011934</td>\n",
       "      <td>0.002760</td>\n",
       "      <td>0.053647</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2004.0</td>\n",
       "      <td>5.288968e-03</td>\n",
       "      <td>3.399767e-04</td>\n",
       "      <td>1.034855e-03</td>\n",
       "      <td>0.077985</td>\n",
       "      <td>0.005330</td>\n",
       "      <td>0.072828</td>\n",
       "      <td>1.079119e-03</td>\n",
       "      <td>0.013407</td>\n",
       "      <td>0.018731</td>\n",
       "      <td>...</td>\n",
       "      <td>4.969196e-04</td>\n",
       "      <td>3.981257e-02</td>\n",
       "      <td>0.045546</td>\n",
       "      <td>4.593622e-02</td>\n",
       "      <td>0.018866</td>\n",
       "      <td>0.050250</td>\n",
       "      <td>0.031287</td>\n",
       "      <td>0.002003</td>\n",
       "      <td>0.053322</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2005.0</td>\n",
       "      <td>1.385691e-02</td>\n",
       "      <td>1.788721e-06</td>\n",
       "      <td>1.896068e-04</td>\n",
       "      <td>0.082708</td>\n",
       "      <td>0.005653</td>\n",
       "      <td>0.122565</td>\n",
       "      <td>1.095235e-03</td>\n",
       "      <td>0.020767</td>\n",
       "      <td>0.020022</td>\n",
       "      <td>...</td>\n",
       "      <td>7.771648e-04</td>\n",
       "      <td>4.807964e-02</td>\n",
       "      <td>0.020838</td>\n",
       "      <td>9.168145e-02</td>\n",
       "      <td>0.006646</td>\n",
       "      <td>0.050285</td>\n",
       "      <td>0.008932</td>\n",
       "      <td>0.003490</td>\n",
       "      <td>0.034098</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2006.0</td>\n",
       "      <td>4.304172e-02</td>\n",
       "      <td>8.140289e-06</td>\n",
       "      <td>8.140289e-06</td>\n",
       "      <td>0.042436</td>\n",
       "      <td>0.013619</td>\n",
       "      <td>0.027070</td>\n",
       "      <td>2.118953e-03</td>\n",
       "      <td>0.016562</td>\n",
       "      <td>0.030956</td>\n",
       "      <td>...</td>\n",
       "      <td>1.290322e-03</td>\n",
       "      <td>4.283231e-03</td>\n",
       "      <td>0.032206</td>\n",
       "      <td>7.761020e-03</td>\n",
       "      <td>0.037808</td>\n",
       "      <td>0.086856</td>\n",
       "      <td>0.013621</td>\n",
       "      <td>0.002915</td>\n",
       "      <td>0.179453</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2007.0</td>\n",
       "      <td>1.632016e-01</td>\n",
       "      <td>5.290966e-07</td>\n",
       "      <td>5.290966e-07</td>\n",
       "      <td>0.039340</td>\n",
       "      <td>0.065091</td>\n",
       "      <td>0.013520</td>\n",
       "      <td>4.401835e-03</td>\n",
       "      <td>0.075227</td>\n",
       "      <td>0.044819</td>\n",
       "      <td>...</td>\n",
       "      <td>5.290966e-07</td>\n",
       "      <td>3.233508e-03</td>\n",
       "      <td>0.004200</td>\n",
       "      <td>5.290966e-07</td>\n",
       "      <td>0.084899</td>\n",
       "      <td>0.084057</td>\n",
       "      <td>0.011609</td>\n",
       "      <td>0.001527</td>\n",
       "      <td>0.164923</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2008.0</td>\n",
       "      <td>1.152405e-01</td>\n",
       "      <td>9.404017e-06</td>\n",
       "      <td>9.404017e-06</td>\n",
       "      <td>0.054652</td>\n",
       "      <td>0.014295</td>\n",
       "      <td>0.118581</td>\n",
       "      <td>1.614888e-03</td>\n",
       "      <td>0.069066</td>\n",
       "      <td>0.026744</td>\n",
       "      <td>...</td>\n",
       "      <td>3.049739e-03</td>\n",
       "      <td>1.376474e-03</td>\n",
       "      <td>0.023295</td>\n",
       "      <td>9.404017e-06</td>\n",
       "      <td>0.121321</td>\n",
       "      <td>0.097121</td>\n",
       "      <td>0.000009</td>\n",
       "      <td>0.000009</td>\n",
       "      <td>0.073498</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>8.284125e-02</td>\n",
       "      <td>4.518974e-06</td>\n",
       "      <td>4.518974e-06</td>\n",
       "      <td>0.039185</td>\n",
       "      <td>0.001409</td>\n",
       "      <td>0.086745</td>\n",
       "      <td>1.673728e-03</td>\n",
       "      <td>0.035602</td>\n",
       "      <td>0.057001</td>\n",
       "      <td>...</td>\n",
       "      <td>4.518974e-06</td>\n",
       "      <td>4.266007e-02</td>\n",
       "      <td>0.051072</td>\n",
       "      <td>4.518974e-06</td>\n",
       "      <td>0.098295</td>\n",
       "      <td>0.081760</td>\n",
       "      <td>0.043886</td>\n",
       "      <td>0.031254</td>\n",
       "      <td>0.087413</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2010.0</td>\n",
       "      <td>9.863705e-02</td>\n",
       "      <td>3.723784e-04</td>\n",
       "      <td>8.715323e-06</td>\n",
       "      <td>0.021704</td>\n",
       "      <td>0.003447</td>\n",
       "      <td>0.021960</td>\n",
       "      <td>3.548336e-03</td>\n",
       "      <td>0.064169</td>\n",
       "      <td>0.107968</td>\n",
       "      <td>...</td>\n",
       "      <td>3.328752e-03</td>\n",
       "      <td>1.612694e-03</td>\n",
       "      <td>0.041061</td>\n",
       "      <td>8.715323e-06</td>\n",
       "      <td>0.068038</td>\n",
       "      <td>0.140234</td>\n",
       "      <td>0.001240</td>\n",
       "      <td>0.000009</td>\n",
       "      <td>0.097089</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2011.0</td>\n",
       "      <td>6.537509e-02</td>\n",
       "      <td>5.763635e-04</td>\n",
       "      <td>5.577716e-07</td>\n",
       "      <td>0.024694</td>\n",
       "      <td>0.001044</td>\n",
       "      <td>0.044917</td>\n",
       "      <td>5.577716e-07</td>\n",
       "      <td>0.071812</td>\n",
       "      <td>0.038506</td>\n",
       "      <td>...</td>\n",
       "      <td>5.577716e-07</td>\n",
       "      <td>1.525730e-01</td>\n",
       "      <td>0.036908</td>\n",
       "      <td>5.577716e-07</td>\n",
       "      <td>0.113219</td>\n",
       "      <td>0.126520</td>\n",
       "      <td>0.005286</td>\n",
       "      <td>0.002914</td>\n",
       "      <td>0.074697</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2012.0</td>\n",
       "      <td>6.430483e-02</td>\n",
       "      <td>3.478589e-06</td>\n",
       "      <td>2.261738e-02</td>\n",
       "      <td>0.106869</td>\n",
       "      <td>0.000459</td>\n",
       "      <td>0.018820</td>\n",
       "      <td>5.073279e-03</td>\n",
       "      <td>0.062165</td>\n",
       "      <td>0.051842</td>\n",
       "      <td>...</td>\n",
       "      <td>3.478589e-06</td>\n",
       "      <td>5.021247e-02</td>\n",
       "      <td>0.017175</td>\n",
       "      <td>2.507738e-02</td>\n",
       "      <td>0.012934</td>\n",
       "      <td>0.067429</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000165</td>\n",
       "      <td>0.040024</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2013.0</td>\n",
       "      <td>2.830547e-02</td>\n",
       "      <td>4.599569e-03</td>\n",
       "      <td>4.375432e-06</td>\n",
       "      <td>0.080993</td>\n",
       "      <td>0.018278</td>\n",
       "      <td>0.028109</td>\n",
       "      <td>4.037708e-02</td>\n",
       "      <td>0.103191</td>\n",
       "      <td>0.175933</td>\n",
       "      <td>...</td>\n",
       "      <td>2.248771e-02</td>\n",
       "      <td>7.426653e-03</td>\n",
       "      <td>0.000615</td>\n",
       "      <td>4.375432e-06</td>\n",
       "      <td>0.044606</td>\n",
       "      <td>0.036920</td>\n",
       "      <td>0.034555</td>\n",
       "      <td>0.000242</td>\n",
       "      <td>0.023535</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014.0</td>\n",
       "      <td>3.132047e-03</td>\n",
       "      <td>9.973522e-03</td>\n",
       "      <td>2.704721e-02</td>\n",
       "      <td>0.059916</td>\n",
       "      <td>0.030342</td>\n",
       "      <td>0.033841</td>\n",
       "      <td>4.230073e-02</td>\n",
       "      <td>0.037103</td>\n",
       "      <td>0.062979</td>\n",
       "      <td>...</td>\n",
       "      <td>4.583813e-02</td>\n",
       "      <td>7.061747e-02</td>\n",
       "      <td>0.048808</td>\n",
       "      <td>1.160750e-02</td>\n",
       "      <td>0.010464</td>\n",
       "      <td>0.062883</td>\n",
       "      <td>0.003384</td>\n",
       "      <td>0.040388</td>\n",
       "      <td>0.037198</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>1.511272e-03</td>\n",
       "      <td>3.213229e-02</td>\n",
       "      <td>2.408179e-04</td>\n",
       "      <td>0.021644</td>\n",
       "      <td>0.015464</td>\n",
       "      <td>0.013857</td>\n",
       "      <td>2.843315e-02</td>\n",
       "      <td>0.072676</td>\n",
       "      <td>0.016569</td>\n",
       "      <td>...</td>\n",
       "      <td>4.045325e-02</td>\n",
       "      <td>1.497396e-01</td>\n",
       "      <td>0.054535</td>\n",
       "      <td>3.839242e-02</td>\n",
       "      <td>0.016528</td>\n",
       "      <td>0.048489</td>\n",
       "      <td>0.000419</td>\n",
       "      <td>0.001402</td>\n",
       "      <td>0.042802</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016.0</td>\n",
       "      <td>1.964275e-04</td>\n",
       "      <td>7.370628e-02</td>\n",
       "      <td>4.893460e-06</td>\n",
       "      <td>0.041533</td>\n",
       "      <td>0.009084</td>\n",
       "      <td>0.014128</td>\n",
       "      <td>3.640234e-02</td>\n",
       "      <td>0.103261</td>\n",
       "      <td>0.033582</td>\n",
       "      <td>...</td>\n",
       "      <td>2.369989e-02</td>\n",
       "      <td>4.582580e-02</td>\n",
       "      <td>0.082832</td>\n",
       "      <td>4.767624e-02</td>\n",
       "      <td>0.006876</td>\n",
       "      <td>0.043791</td>\n",
       "      <td>0.007828</td>\n",
       "      <td>0.000688</td>\n",
       "      <td>0.146127</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017.0</td>\n",
       "      <td>2.129688e-03</td>\n",
       "      <td>7.519654e-02</td>\n",
       "      <td>3.413091e-06</td>\n",
       "      <td>0.019866</td>\n",
       "      <td>0.002681</td>\n",
       "      <td>0.012257</td>\n",
       "      <td>1.704270e-02</td>\n",
       "      <td>0.209500</td>\n",
       "      <td>0.024497</td>\n",
       "      <td>...</td>\n",
       "      <td>3.689503e-02</td>\n",
       "      <td>2.151243e-02</td>\n",
       "      <td>0.080172</td>\n",
       "      <td>5.130774e-03</td>\n",
       "      <td>0.014432</td>\n",
       "      <td>0.042943</td>\n",
       "      <td>0.054819</td>\n",
       "      <td>0.000493</td>\n",
       "      <td>0.105969</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018.0</td>\n",
       "      <td>8.296620e-07</td>\n",
       "      <td>7.842156e-02</td>\n",
       "      <td>8.296620e-07</td>\n",
       "      <td>0.030666</td>\n",
       "      <td>0.005177</td>\n",
       "      <td>0.013162</td>\n",
       "      <td>1.915370e-02</td>\n",
       "      <td>0.253489</td>\n",
       "      <td>0.020475</td>\n",
       "      <td>...</td>\n",
       "      <td>1.236351e-03</td>\n",
       "      <td>8.296620e-07</td>\n",
       "      <td>0.052148</td>\n",
       "      <td>4.588354e-04</td>\n",
       "      <td>0.003987</td>\n",
       "      <td>0.046410</td>\n",
       "      <td>0.002064</td>\n",
       "      <td>0.001686</td>\n",
       "      <td>0.163744</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>17 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Ano            T1            T2            T3        T4        T5  \\\n",
       "0  2002.0  9.022471e-03  6.399740e-04  2.731582e-04  0.134380  0.001024   \n",
       "0  2003.0  2.830299e-06  2.830299e-06  1.588821e-03  0.111930  0.002854   \n",
       "0  2004.0  5.288968e-03  3.399767e-04  1.034855e-03  0.077985  0.005330   \n",
       "0  2005.0  1.385691e-02  1.788721e-06  1.896068e-04  0.082708  0.005653   \n",
       "0  2006.0  4.304172e-02  8.140289e-06  8.140289e-06  0.042436  0.013619   \n",
       "0  2007.0  1.632016e-01  5.290966e-07  5.290966e-07  0.039340  0.065091   \n",
       "0  2008.0  1.152405e-01  9.404017e-06  9.404017e-06  0.054652  0.014295   \n",
       "0  2009.0  8.284125e-02  4.518974e-06  4.518974e-06  0.039185  0.001409   \n",
       "0  2010.0  9.863705e-02  3.723784e-04  8.715323e-06  0.021704  0.003447   \n",
       "0  2011.0  6.537509e-02  5.763635e-04  5.577716e-07  0.024694  0.001044   \n",
       "0  2012.0  6.430483e-02  3.478589e-06  2.261738e-02  0.106869  0.000459   \n",
       "0  2013.0  2.830547e-02  4.599569e-03  4.375432e-06  0.080993  0.018278   \n",
       "0  2014.0  3.132047e-03  9.973522e-03  2.704721e-02  0.059916  0.030342   \n",
       "0  2015.0  1.511272e-03  3.213229e-02  2.408179e-04  0.021644  0.015464   \n",
       "0  2016.0  1.964275e-04  7.370628e-02  4.893460e-06  0.041533  0.009084   \n",
       "0  2017.0  2.129688e-03  7.519654e-02  3.413091e-06  0.019866  0.002681   \n",
       "0  2018.0  8.296620e-07  7.842156e-02  8.296620e-07  0.030666  0.005177   \n",
       "\n",
       "         T6            T7        T8        T9  ...             T22  \\\n",
       "0  0.064551  7.980227e-04  0.005095  0.035399  ...    3.238502e-06   \n",
       "0  0.140014  8.465978e-04  0.041015  0.025917  ...    5.512002e-05   \n",
       "0  0.072828  1.079119e-03  0.013407  0.018731  ...    4.969196e-04   \n",
       "0  0.122565  1.095235e-03  0.020767  0.020022  ...    7.771648e-04   \n",
       "0  0.027070  2.118953e-03  0.016562  0.030956  ...    1.290322e-03   \n",
       "0  0.013520  4.401835e-03  0.075227  0.044819  ...    5.290966e-07   \n",
       "0  0.118581  1.614888e-03  0.069066  0.026744  ...    3.049739e-03   \n",
       "0  0.086745  1.673728e-03  0.035602  0.057001  ...    4.518974e-06   \n",
       "0  0.021960  3.548336e-03  0.064169  0.107968  ...    3.328752e-03   \n",
       "0  0.044917  5.577716e-07  0.071812  0.038506  ...    5.577716e-07   \n",
       "0  0.018820  5.073279e-03  0.062165  0.051842  ...    3.478589e-06   \n",
       "0  0.028109  4.037708e-02  0.103191  0.175933  ...    2.248771e-02   \n",
       "0  0.033841  4.230073e-02  0.037103  0.062979  ...    4.583813e-02   \n",
       "0  0.013857  2.843315e-02  0.072676  0.016569  ...    4.045325e-02   \n",
       "0  0.014128  3.640234e-02  0.103261  0.033582  ...    2.369989e-02   \n",
       "0  0.012257  1.704270e-02  0.209500  0.024497  ...    3.689503e-02   \n",
       "0  0.013162  1.915370e-02  0.253489  0.020475  ...    1.236351e-03   \n",
       "\n",
       "            T23       T24           T25       T26       T27       T28  \\\n",
       "0  2.745869e-02  0.043041  3.410711e-02  0.028486  0.079132  0.011936   \n",
       "0  3.124091e-02  0.024410  1.364206e-02  0.015043  0.050614  0.011934   \n",
       "0  3.981257e-02  0.045546  4.593622e-02  0.018866  0.050250  0.031287   \n",
       "0  4.807964e-02  0.020838  9.168145e-02  0.006646  0.050285  0.008932   \n",
       "0  4.283231e-03  0.032206  7.761020e-03  0.037808  0.086856  0.013621   \n",
       "0  3.233508e-03  0.004200  5.290966e-07  0.084899  0.084057  0.011609   \n",
       "0  1.376474e-03  0.023295  9.404017e-06  0.121321  0.097121  0.000009   \n",
       "0  4.266007e-02  0.051072  4.518974e-06  0.098295  0.081760  0.043886   \n",
       "0  1.612694e-03  0.041061  8.715323e-06  0.068038  0.140234  0.001240   \n",
       "0  1.525730e-01  0.036908  5.577716e-07  0.113219  0.126520  0.005286   \n",
       "0  5.021247e-02  0.017175  2.507738e-02  0.012934  0.067429  0.009091   \n",
       "0  7.426653e-03  0.000615  4.375432e-06  0.044606  0.036920  0.034555   \n",
       "0  7.061747e-02  0.048808  1.160750e-02  0.010464  0.062883  0.003384   \n",
       "0  1.497396e-01  0.054535  3.839242e-02  0.016528  0.048489  0.000419   \n",
       "0  4.582580e-02  0.082832  4.767624e-02  0.006876  0.043791  0.007828   \n",
       "0  2.151243e-02  0.080172  5.130774e-03  0.014432  0.042943  0.054819   \n",
       "0  8.296620e-07  0.052148  4.588354e-04  0.003987  0.046410  0.002064   \n",
       "\n",
       "        T29       T30  Total  \n",
       "0  0.017316  0.041613    1.0  \n",
       "0  0.002760  0.053647    1.0  \n",
       "0  0.002003  0.053322    1.0  \n",
       "0  0.003490  0.034098    1.0  \n",
       "0  0.002915  0.179453    1.0  \n",
       "0  0.001527  0.164923    1.0  \n",
       "0  0.000009  0.073498    1.0  \n",
       "0  0.031254  0.087413    1.0  \n",
       "0  0.000009  0.097089    1.0  \n",
       "0  0.002914  0.074697    1.0  \n",
       "0  0.000165  0.040024    1.0  \n",
       "0  0.000242  0.023535    1.0  \n",
       "0  0.040388  0.037198    1.0  \n",
       "0  0.001402  0.042802    1.0  \n",
       "0  0.000688  0.146127    1.0  \n",
       "0  0.000493  0.105969    1.0  \n",
       "0  0.001686  0.163744    1.0  \n",
       "\n",
       "[17 rows x 32 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# compute avg theta given documents interval and total number of topics\n",
    "# return: list containing avg probability for each topic (list length: no_topics)\n",
    "def compute_avg_theta(range_init, range_end, no_topics):\n",
    "    topics_list = [0.0] * no_topics\n",
    "    total = range_end - range_init\n",
    "    total_sum = 0\n",
    "    for i, row in enumerate(lda_model[corpus]):    \n",
    "        if i in range(range_init,range_end):\n",
    "            for j, (topic_num, prop_topic) in enumerate(row):\n",
    "                topics_list[topic_num] += prop_topic\n",
    "    for i, prop in enumerate(topics_list):\n",
    "        topics_list[i] = prop / total\n",
    "        total_sum += topics_list[i]\n",
    "    \n",
    "    ## normalize with remaining\n",
    "    remaining = 1.0 - total_sum\n",
    "    add_each = remaining / len(topics_list)\n",
    "    \n",
    "    total_sum = 0\n",
    "    for i, val in enumerate(topics_list):\n",
    "        topics_list[i] = val+add_each\n",
    "        total_sum += topics_list[i]\n",
    "    \n",
    "    if total_sum > 1.0:\n",
    "        previous = topics_list[0]\n",
    "        topics_list[0] -= (total_sum - 1.0)\n",
    "        total_sum -= (previous-topics_list[0])\n",
    "    \n",
    "    return total_sum, topics_list\n",
    "\n",
    "def build_thetas(topics_list, total_sum, year):\n",
    "    thetas_df = pd.DataFrame()\n",
    "    thetas_df = thetas_df.append(pd.Series([int(year)]), ignore_index=True)\n",
    "    for i in range(num_topics):\n",
    "        theta_topic = pd.Series(topics_list[i])\n",
    "        thetas_df = pd.concat([thetas_df, theta_topic], axis=1)\n",
    "    total_sum_topic = pd.Series(total_sum)\n",
    "    thetas_df = pd.concat([thetas_df, total_sum_topic], axis=1)\n",
    "    list_columns = ['Ano']\n",
    "    for i in range(1,num_topics+1):\n",
    "        topic_id = 'T' + str(i)\n",
    "        list_columns.append(topic_id)\n",
    "    list_columns.append('Total')\n",
    "    thetas_df.columns = list_columns\n",
    "    return thetas_df\n",
    "    \n",
    "def plot_chart(topics_list,year):\n",
    "    plt.rcParams['figure.figsize'] = [15, 1]\n",
    "    fig = plt.figure()\n",
    "    ax = fig.add_subplot(111)\n",
    "\n",
    "    N = len(topics_list)\n",
    "\n",
    "    ind = np.arange(0,N)            \n",
    "    width = 0.7                     \n",
    "\n",
    "    rects1 = ax.bar(ind, topics_list, width,color='blue')\n",
    "\n",
    "    ax.set_xlim(-width,len(ind)+width)\n",
    "    ax.set_ylim(0,0.15)\n",
    "    ax.set_ylabel('Theta')\n",
    "    ax.set_title(year)\n",
    "    xTickMarks = ['T'+str(i) for i in range(1,45)]\n",
    "    ax.set_xticks(ind)\n",
    "    xtickNames = ax.set_xticklabels(xTickMarks)\n",
    "    plt.setp(xtickNames, rotation=45, fontsize=10)\n",
    "\n",
    "    plt.show()\n",
    "    \n",
    "    \n",
    "year = 2002\n",
    "thetas_df_final = pd.DataFrame()\n",
    "for i in range(len(indexes)-2):\n",
    "    index = indexes[i]\n",
    "    total_sum, topics_list = compute_avg_theta(index,indexes[i+1],lda_model.num_topics)\n",
    "    thetas_df = build_thetas(topics_list, total_sum, year)\n",
    "    thetas_df_final = thetas_df_final.append(thetas_df)\n",
    "    plot_chart(topics_list,year)\n",
    "    year += 1\n",
    "    \n",
    "i = len(indexes)-2\n",
    "index = indexes[i]\n",
    "total_sum, topics_list = compute_avg_theta(index,indexes[i+1],lda_model.num_topics)\n",
    "thetas_df = build_thetas(topics_list, total_sum, year)\n",
    "thetas_df_final = thetas_df_final.append(thetas_df)\n",
    "plot_chart(topics_list,year)\n",
    "\n",
    "thetas_df_final"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exporta resultados para arquivos .csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "thetas_df_final.to_csv('antt-option4-thetas.csv',index=False)\n",
    "topics_df.to_csv('antt-option4-topics.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "topics_df_transpose = pd.DataFrame()\n",
    "topn_words = 30\n",
    "\n",
    "header = ['Topico']\n",
    "for i in range(1,topn_words+1):\n",
    "    header.extend([i])\n",
    "for topic_num in range(num_topics):\n",
    "        topic_row = lda_model.show_topic(topic_num,topn_words)\n",
    "        \n",
    "        my_list = ['T'+(str(topic_num+1))]\n",
    "        for word,prop in topic_row:\n",
    "            my_list.extend([word])\n",
    "        topics_df_transpose = topics_df_transpose.append(pd.Series(my_list), ignore_index=True)\n",
    "topics_df_transpose.columns = header\n",
    "\n",
    "writer = pd.ExcelWriter('antt-option4.xlsx')\n",
    "topics_df_transpose.T.to_excel(writer,'antt-option4-topics',index=False,header=False)\n",
    "thetas_df_final.to_excel(writer,'antt-option4-thetas',index=False)\n",
    "writer.save()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tópicos na forma de word cloud (o tamanho da fonte indica a relevância da palavra no tópico):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a26feac88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def generate_wordcloud_and_plot(d):\n",
    "    from wordcloud import WordCloud\n",
    "    import matplotlib.pyplot as plt\n",
    "    \n",
    "    ##wordcloud = WordCloud().generate_from_frequencies(frequencies=d)\n",
    "    ##plt.imshow(wordcloud, interpolation='bilinear')\n",
    "    ##plt.axis(\"off\")\n",
    "\n",
    "    # lower max_font_size\n",
    "    wordcloud = WordCloud(max_font_size=40,background_color='white').generate_from_frequencies(frequencies=d)\n",
    "    plt.figure()\n",
    "    plt.imshow(wordcloud, interpolation=\"bilinear\")\n",
    "    plt.axis(\"off\")\n",
    "    plt.show()\n",
    "\n",
    "    # The pil way (if you don't have matplotlib)\n",
    "    # image = wordcloud.to_image()\n",
    "    # image.show()\n",
    "    \n",
    "def generate_wordcloud(d):\n",
    "    from wordcloud import WordCloud\n",
    "    import matplotlib.pyplot as plt\n",
    "    \n",
    "    wordcloud = WordCloud(max_font_size=220,width=2400, height=900,background_color='black',colormap='tab10').generate_from_frequencies(frequencies=d)\n",
    "    return wordcloud\n",
    "    \n",
    "    \n",
    "    \n",
    "def build_frequencies_topics(no_top_words):\n",
    "    from wordcloud import WordCloud\n",
    "    import matplotlib.pyplot as plt\n",
    "    \n",
    "    f = plt.figure(figsize=(20,10))\n",
    "    for topic_idx in range(0,num_topics):\n",
    "        d = {}\n",
    "        topic_tuple = lda_model.show_topic(topic_idx,no_top_words)\n",
    "        for (topic, weight) in topic_tuple:\n",
    "            d[topic] = weight\n",
    "        #print ('Tópico %d:' % topic_idx)\n",
    "        wordcloud = generate_wordcloud(d)\n",
    "\n",
    "        f.add_subplot(6,5, topic_idx+1)\n",
    "        plt.text(0, -15, 'Tópico %d' % (topic_idx+1), fontsize=10)\n",
    "        plt.imshow(wordcloud, interpolation=\"bilinear\")\n",
    "        plt.axis(\"off\")\n",
    "        \n",
    "    plt.show(block=True)\n",
    "    f.savefig('antt-wordcloud-4.eps')\n",
    "    f.savefig('antt-wordcloud-4.png')\n",
    "\n",
    "    #plt.figure()\n",
    "    #f, axarr = plt.subplots(2,2)\n",
    "    #axarr[0,0].imshow(wordcloud, interpolation=\"bilinear\")\n",
    "\n",
    "    #plt.figure()\n",
    "    #plt.imshow(wordcloud, interpolation=\"bilinear\")\n",
    "    #plt.axis(\"off\")\n",
    "    #plt.show()\n",
    "    \n",
    "build_frequencies_topics(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Thematic Diversity by Topic Modeling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LdaModel(num_terms=8242, num_topics=30, decay=0.5, chunksize=2000)\n"
     ]
    }
   ],
   "source": [
    "print(lda_model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "topics_docs_proba = np.zeros( (len(lda_model[corpus]), num_topics) )\n",
    "for i, row in enumerate(lda_model[corpus]):\n",
    "        row = sorted(row, key=lambda x: (x[1]), reverse=True)\n",
    "        for j, (topic_num, prop_topic) in enumerate(row):\n",
    "            topics_docs_proba[i][topic_num-1] = prop_topic\n",
    "\n",
    "topics_docs_proba = topics_docs_proba.transpose()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "def p(topic):\n",
    "    return np.mean(topics_docs_proba[topic])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rows x columns 30 8242\n"
     ]
    }
   ],
   "source": [
    "topics_terms = lda_model.state.get_lambda()\n",
    "topics_terms_proba = np.apply_along_axis(lambda x: x/x.sum(),1,topics_terms)\n",
    "print('rows x columns', len(topics_terms_proba), len(topics_terms_proba[0]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1.         0.53517231 0.21992073 0.21807223 0.44793781 0.44886011\n",
      "  0.43284756 0.26994145 0.18649858 0.45581952 0.26108325 0.22394961\n",
      "  0.26911786 0.19547393 0.36510704 0.17371738 0.35416909 0.30251994\n",
      "  0.18975835 0.17506568 0.2253059  0.401253   0.36659667 0.20730991\n",
      "  0.25459408 0.7739326  0.246524   0.24611273 0.31366009 0.24920589]\n",
      " [0.53517231 1.         0.22422439 0.25043587 0.54040732 0.35489135\n",
      "  0.36792627 0.33021075 0.19521283 0.48490532 0.2759484  0.24499983\n",
      "  0.33399001 0.26545323 0.35888113 0.16144565 0.27318166 0.2211136\n",
      "  0.23172523 0.21361983 0.24947167 0.36483428 0.40213343 0.22303424\n",
      "  0.24793852 0.7541738  0.28718635 0.26591338 0.24418904 0.28492891]\n",
      " [0.21992073 0.22422439 1.         0.34671434 0.34696393 0.4289352\n",
      "  0.32107352 0.31256082 0.26421347 0.264013   0.33832771 0.33077248\n",
      "  0.37714496 0.31190364 0.34778238 0.37317289 0.47693659 0.45639353\n",
      "  0.30084844 0.30240292 0.29156498 0.32445956 0.51483601 0.32232257\n",
      "  0.40298441 0.23719718 0.34776484 0.34368383 0.28455078 0.37279336]\n",
      " [0.21807223 0.25043587 0.34671434 1.         0.44593746 0.34391213\n",
      "  0.43606532 0.49273134 0.63603109 0.26955128 0.60719011 0.66419704\n",
      "  0.55584039 0.75885662 0.38678171 0.39143301 0.23252227 0.24849227\n",
      "  0.49248135 0.56977935 0.48097072 0.38218768 0.33853457 0.46230902\n",
      "  0.42772651 0.27811955 0.59926164 0.51858579 0.32027448 0.52576361]\n",
      " [0.44793781 0.54040732 0.34696393 0.44593746 1.         0.57897721\n",
      "  0.65226638 0.48897804 0.32999784 0.56268222 0.47875856 0.45541786\n",
      "  0.39840347 0.44843277 0.61840196 0.29491421 0.33643944 0.3891389\n",
      "  0.40153791 0.35662802 0.43150327 0.71978094 0.70378923 0.34103338\n",
      "  0.46506668 0.58832127 0.4266116  0.46587069 0.54946555 0.4183361 ]\n",
      " [0.44886011 0.35489135 0.4289352  0.34391213 0.57897721 1.\n",
      "  0.60482258 0.29689894 0.26643555 0.58040298 0.45427153 0.25937459\n",
      "  0.3090485  0.25241859 0.64321569 0.26700712 0.66411992 0.66409136\n",
      "  0.21286759 0.22490917 0.30531385 0.67943164 0.76006985 0.21609047\n",
      "  0.54970753 0.4823447  0.24550812 0.30623971 0.58339285 0.26110838]\n",
      " [0.43284756 0.36792627 0.32107352 0.43606532 0.65226638 0.60482258\n",
      "  1.         0.47933021 0.48327826 0.74000991 0.56441957 0.38086851\n",
      "  0.29097881 0.36292869 0.55121379 0.224192   0.35352697 0.4178143\n",
      "  0.29749402 0.23559226 0.44271804 0.80866401 0.5217519  0.23269759\n",
      "  0.36076682 0.50034647 0.3779551  0.46345645 0.53651212 0.2841597 ]\n",
      " [0.26994145 0.33021075 0.31256082 0.49273134 0.48897804 0.29689894\n",
      "  0.47933021 1.         0.31370318 0.44080559 0.38234    0.52186228\n",
      "  0.45516383 0.57590933 0.38801496 0.26713977 0.16773461 0.17199317\n",
      "  0.47070858 0.44000534 0.84515716 0.51716996 0.37861502 0.46056802\n",
      "  0.29377038 0.38940522 0.54647926 0.83736792 0.30032829 0.53395488]\n",
      " [0.18649858 0.19521283 0.26421347 0.63603109 0.32999784 0.26643555\n",
      "  0.48327826 0.31370318 1.         0.29785643 0.52038776 0.42651308\n",
      "  0.38014496 0.49112593 0.3715768  0.33366785 0.22260919 0.25851275\n",
      "  0.28453375 0.36962316 0.37542689 0.36131939 0.23429885 0.30825664\n",
      "  0.29998613 0.21688158 0.52474623 0.35483562 0.22817133 0.37174468]\n",
      " [0.45581952 0.48490532 0.264013   0.26955128 0.56268222 0.58040298\n",
      "  0.74000991 0.44080559 0.29785643 1.         0.38247038 0.24089617\n",
      "  0.2245957  0.24690034 0.45998759 0.14412723 0.29723468 0.31092309\n",
      "  0.21424393 0.15940384 0.34757154 0.68898569 0.54680125 0.16221324\n",
      "  0.28534383 0.61239442 0.2967782  0.34936837 0.47798575 0.22424204]\n",
      " [0.26108325 0.2759484  0.33832771 0.60719011 0.47875856 0.45427153\n",
      "  0.56441957 0.38234    0.52038776 0.38247038 1.         0.46237006\n",
      "  0.41205353 0.46667114 0.43510994 0.29202405 0.3736353  0.38744986\n",
      "  0.35763455 0.36121853 0.34758273 0.5171101  0.41022686 0.33888604\n",
      "  0.36848354 0.31513318 0.50045397 0.38785283 0.31199576 0.40707355]\n",
      " [0.22394961 0.24499983 0.33077248 0.66419704 0.45541786 0.25937459\n",
      "  0.38086851 0.52186228 0.42651308 0.24089617 0.46237006 1.\n",
      "  0.48072045 0.68222537 0.34864533 0.31231256 0.17009982 0.17828253\n",
      "  0.69138359 0.49495997 0.46500631 0.32816541 0.30283211 0.42984423\n",
      "  0.34493665 0.27337876 0.52082161 0.5097645  0.31541299 0.47484337]\n",
      " [0.26911786 0.33399001 0.37714496 0.55584039 0.39840347 0.3090485\n",
      "  0.29097881 0.45516383 0.38014496 0.2245957  0.41205353 0.48072045\n",
      "  1.         0.64627968 0.35973401 0.67257984 0.29759509 0.23966353\n",
      "  0.40291357 0.82835587 0.43695723 0.29111538 0.39351952 0.72926125\n",
      "  0.51032371 0.31269776 0.62651665 0.49353215 0.27199156 0.69617005]\n",
      " [0.19547393 0.26545323 0.31190364 0.75885662 0.44843277 0.25241859\n",
      "  0.36292869 0.57590933 0.49112593 0.24690034 0.46667114 0.68222537\n",
      "  0.64627968 1.         0.35297488 0.44086902 0.13699313 0.14017325\n",
      "  0.54649494 0.74785496 0.50044741 0.33453234 0.3344595  0.5986053\n",
      "  0.39686512 0.25337115 0.6880269  0.54373575 0.29686611 0.60034931]\n",
      " [0.36510704 0.35888113 0.34778238 0.38678171 0.61840196 0.64321569\n",
      "  0.55121379 0.38801496 0.3715768  0.45998759 0.43510994 0.34864533\n",
      "  0.35973401 0.35297488 1.         0.25743745 0.56423968 0.45526441\n",
      "  0.31152386 0.29661405 0.37421036 0.64285403 0.57170405 0.28861344\n",
      "  0.42952299 0.3815555  0.36591886 0.37859214 0.43594827 0.32100004]\n",
      " [0.17371738 0.16144565 0.37317289 0.39143301 0.29491421 0.26700712\n",
      "  0.224192   0.26713977 0.33366785 0.14412723 0.29202405 0.31231256\n",
      "  0.67257984 0.44086902 0.25743745 1.         0.32463968 0.31198419\n",
      "  0.2326177  0.67543119 0.306866   0.19488311 0.36408074 0.52711612\n",
      "  0.53160952 0.16586469 0.42941844 0.35171747 0.25401021 0.44491215]\n",
      " [0.35416909 0.27318166 0.47693659 0.23252227 0.33643944 0.66411992\n",
      "  0.35352697 0.16773461 0.22260919 0.29723468 0.3736353  0.17009982\n",
      "  0.29759509 0.13699313 0.56423968 0.32463968 1.         0.79335775\n",
      "  0.14128458 0.18417277 0.19785394 0.44018873 0.54900491 0.21770203\n",
      "  0.48000522 0.33740591 0.19867453 0.20613766 0.28755753 0.20500097]\n",
      " [0.30251994 0.2211136  0.45639353 0.24849227 0.3891389  0.66409136\n",
      "  0.4178143  0.17199317 0.25851275 0.31092309 0.38744986 0.17828253\n",
      "  0.23966353 0.14017325 0.45526441 0.31198419 0.79335775 1.\n",
      "  0.13923951 0.15345147 0.24604303 0.50630381 0.53443556 0.16775258\n",
      "  0.5710556  0.2959621  0.17960261 0.21015791 0.39383349 0.18879571]\n",
      " [0.18975835 0.23172523 0.30084844 0.49248135 0.40153791 0.21286759\n",
      "  0.29749402 0.47070858 0.28453375 0.21424393 0.35763455 0.69138359\n",
      "  0.40291357 0.54649494 0.31152386 0.2326177  0.14128458 0.13923951\n",
      "  1.         0.38152703 0.36810139 0.2868749  0.28300229 0.34554405\n",
      "  0.29520769 0.24574389 0.43396261 0.44084481 0.26781162 0.41551875]\n",
      " [0.17506568 0.21361983 0.30240292 0.56977935 0.35662802 0.22490917\n",
      "  0.23559226 0.44000534 0.36962316 0.15940384 0.36121853 0.49495997\n",
      "  0.82835587 0.74785496 0.29661405 0.67543119 0.18417277 0.15345147\n",
      "  0.38152703 1.         0.44043465 0.23842229 0.32497334 0.7712495\n",
      "  0.45741797 0.19487851 0.64631826 0.49981922 0.25774821 0.68394354]\n",
      " [0.2253059  0.24947167 0.29156498 0.48097072 0.43150327 0.30531385\n",
      "  0.44271804 0.84515716 0.37542689 0.34757154 0.34758273 0.46500631\n",
      "  0.43695723 0.50044741 0.37421036 0.306866   0.19785394 0.24604303\n",
      "  0.36810139 0.44043465 1.         0.51007374 0.34055824 0.43541605\n",
      "  0.34428393 0.33364937 0.50598666 0.86040741 0.3108496  0.49587205]\n",
      " [0.401253   0.36483428 0.32445956 0.38218768 0.71978094 0.67943164\n",
      "  0.80866401 0.51716996 0.36131939 0.68898569 0.5171101  0.32816541\n",
      "  0.29111538 0.33453234 0.64285403 0.19488311 0.44018873 0.50630381\n",
      "  0.2868749  0.23842229 0.51007374 1.         0.62936973 0.23251124\n",
      "  0.42472977 0.47406112 0.32795861 0.50703395 0.5319949  0.2953773 ]\n",
      " [0.36659667 0.40213343 0.51483601 0.33853457 0.70378923 0.76006985\n",
      "  0.5217519  0.37861502 0.23429885 0.54680125 0.41022686 0.30283211\n",
      "  0.39351952 0.3344595  0.57170405 0.36408074 0.54900491 0.53443556\n",
      "  0.28300229 0.32497334 0.34055824 0.62936973 1.         0.3190517\n",
      "  0.53536804 0.44382673 0.35078934 0.37915489 0.50366411 0.36623255]\n",
      " [0.20730991 0.22303424 0.32232257 0.46230902 0.34103338 0.21609047\n",
      "  0.23269759 0.46056802 0.30825664 0.16221324 0.33888604 0.42984423\n",
      "  0.72926125 0.5986053  0.28861344 0.52711612 0.21770203 0.16775258\n",
      "  0.34554405 0.7712495  0.43541605 0.23251124 0.3190517  1.\n",
      "  0.37362474 0.21460253 0.63685253 0.49305451 0.2044312  0.66427508]\n",
      " [0.25459408 0.24793852 0.40298441 0.42772651 0.46506668 0.54970753\n",
      "  0.36076682 0.29377038 0.29998613 0.28534383 0.36848354 0.34493665\n",
      "  0.51032371 0.39686512 0.42952299 0.53160952 0.48000522 0.5710556\n",
      "  0.29520769 0.45741797 0.34428393 0.42472977 0.53536804 0.37362474\n",
      "  1.         0.26992726 0.3522002  0.33521154 0.36817244 0.36849787]\n",
      " [0.7739326  0.7541738  0.23719718 0.27811955 0.58832127 0.4823447\n",
      "  0.50034647 0.38940522 0.21688158 0.61239442 0.31513318 0.27337876\n",
      "  0.31269776 0.25337115 0.3815555  0.16586469 0.33740591 0.2959621\n",
      "  0.24574389 0.19487851 0.33364937 0.47406112 0.44382673 0.21460253\n",
      "  0.26992726 1.         0.28620667 0.35020298 0.38963659 0.28805943]\n",
      " [0.246524   0.28718635 0.34776484 0.59926164 0.4266116  0.24550812\n",
      "  0.3779551  0.54647926 0.52474623 0.2967782  0.50045397 0.52082161\n",
      "  0.62651665 0.6880269  0.36591886 0.42941844 0.19867453 0.17960261\n",
      "  0.43396261 0.64631826 0.50598666 0.32795861 0.35078934 0.63685253\n",
      "  0.3522002  0.28620667 1.         0.54891163 0.27281435 0.72094466]\n",
      " [0.24611273 0.26591338 0.34368383 0.51858579 0.46587069 0.30623971\n",
      "  0.46345645 0.83736792 0.35483562 0.34936837 0.38785283 0.5097645\n",
      "  0.49353215 0.54373575 0.37859214 0.35171747 0.20613766 0.21015791\n",
      "  0.44084481 0.49981922 0.86040741 0.50703395 0.37915489 0.49305451\n",
      "  0.33521154 0.35020298 0.54891163 1.         0.34655527 0.53211696]\n",
      " [0.31366009 0.24418904 0.28455078 0.32027448 0.54946555 0.58339285\n",
      "  0.53651212 0.30032829 0.22817133 0.47798575 0.31199576 0.31541299\n",
      "  0.27199156 0.29686611 0.43594827 0.25401021 0.28755753 0.39383349\n",
      "  0.26781162 0.25774821 0.3108496  0.5319949  0.50366411 0.2044312\n",
      "  0.36817244 0.38963659 0.27281435 0.34655527 1.         0.2523074 ]\n",
      " [0.24920589 0.28492891 0.37279336 0.52576361 0.4183361  0.26110838\n",
      "  0.2841597  0.53395488 0.37174468 0.22424204 0.40707355 0.47484337\n",
      "  0.69617005 0.60034931 0.32100004 0.44491215 0.20500097 0.18879571\n",
      "  0.41551875 0.68394354 0.49587205 0.2953773  0.36623255 0.66427508\n",
      "  0.36849787 0.28805943 0.72094466 0.53211696 0.2523074  1.        ]]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics.pairwise import cosine_similarity\n",
    "topics_similarities = cosine_similarity(topics_terms_proba)\n",
    "print(topics_similarities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "def delta_i_j(i, j):\n",
    "    return 1 - topics_similarities[i][j]\n",
    "\n",
    "def sum_i_j(i, j):\n",
    "    return delta_i_j(i, j) * p(i) * p(j)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Num topics =  30\n",
      "Num terms =  8242\n",
      "Num documents =  66\n",
      "Thematic diversity ANTT Agency (topic modeling) = 0.2753314197011457\n"
     ]
    }
   ],
   "source": [
    "# remember that similarity is 1 - topics_similarities\n",
    "diversity = 0.0\n",
    "print('Num topics = ', num_topics)\n",
    "print('Num terms = ', len(topics_terms_proba[0]))\n",
    "print('Num documents = ', len(lda_model[corpus]))\n",
    "for i in np.arange(num_topics-1):\n",
    "    for j in np.arange(i+1, num_topics):\n",
    "        diversity = (diversity + sum_i_j(i, j))\n",
    "print('Thematic diversity ANTT Agency (topic modeling) =', diversity)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Thematic Diversity Longitudinal Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "index_2002_init = 0\n",
    "index_2003_init = 182\n",
    "index_2004_init = 539\n",
    "index_2005_init = 770\n",
    "index_2006_init = 994\n",
    "index_2007_init = 1054\n",
    "index_2008_init = 1073\n",
    "index_2009_init = 1107\n",
    "index_2010_init = 1171\n",
    "index_2011_init = 1249\n",
    "index_2012_init = 1304\n",
    "index_2013_init = 1480\n",
    "index_2014_init = 1840\n",
    "index_2015_init = 2344\n",
    "index_2016_init = 2726\n",
    "index_2017_init = 2909\n",
    "index_2018_init = 3049\n",
    "index_2018_end = 3115\n",
    "\n",
    "indexes = [index_2002_init,index_2003_init,index_2004_init,\n",
    "           index_2005_init,index_2006_init,index_2007_init,index_2008_init,index_2009_init,index_2010_init,\n",
    "           index_2011_init,index_2012_init,index_2013_init,index_2014_init,index_2015_init,index_2016_init,\n",
    "           index_2017_init,index_2018_init,index_2018_end\n",
    "          ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "def prepare_data(data_corpus):\n",
    "    data_words = list(sent_to_words(data_corpus))\n",
    "\n",
    "    # Build bigram and trigram models\n",
    "    bigram = gensim.models.Phrases(data_words, min_count=5, threshold=100)\n",
    "    trigram = gensim.models.Phrases(bigram[data_words], threshold=100)  \n",
    "    bigram_mod = gensim.models.phrases.Phraser(bigram)\n",
    "    trigram_mod = gensim.models.phrases.Phraser(trigram)\n",
    "\n",
    "    # Remove Stop Words\n",
    "    data_words_nostops = remove_stopwords(data_words)\n",
    "\n",
    "    # Form Bigrams\n",
    "    data_words_trigrams = make_trigrams(data_words_nostops)\n",
    "\n",
    "    # Create Dictionary\n",
    "    id2word = corpora.Dictionary(data_words_trigrams)\n",
    "\n",
    "    # filter by frequency\n",
    "    id2word.filter_extremes(no_below=5, no_above=0.95)\n",
    "\n",
    "    # Create Corpus\n",
    "    texts = data_words_trigrams\n",
    "\n",
    "    # Term Document Frequency\n",
    "    corpus = [id2word.doc2bow(text) for text in texts]\n",
    "    \n",
    "    return corpus"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "def p(topic, topics_docs_proba):\n",
    "    return np.mean(topics_docs_proba[topic])\n",
    "    \n",
    "def delta_i_j(i, j, topics_similarities):\n",
    "    return 1 - topics_similarities[i][j]\n",
    "\n",
    "def sum_i_j(i, j, topics_similarities, topics_docs_proba):\n",
    "    return delta_i_j(i, j, topics_similarities) * p(i, topics_docs_proba) * p(j, topics_docs_proba)\n",
    "    \n",
    "def compute_thematic_diversity(corpus):\n",
    "    topics_docs_proba = np.zeros( (len(lda_model[corpus]), num_topics) )\n",
    "    for i, row in enumerate(lda_model[corpus]):\n",
    "            row = sorted(row, key=lambda x: (x[1]), reverse=True)\n",
    "            for j, (topic_num, prop_topic) in enumerate(row):\n",
    "                topics_docs_proba[i][topic_num-1] = prop_topic\n",
    "\n",
    "    topics_docs_proba = topics_docs_proba.transpose()\n",
    "    \n",
    "    topics_terms = lda_model.state.get_lambda()\n",
    "    topics_terms_proba = np.apply_along_axis(lambda x: x/x.sum(),1,topics_terms)\n",
    "\n",
    "    from sklearn.metrics.pairwise import cosine_similarity\n",
    "    topics_similarities = cosine_similarity(topics_terms_proba)\n",
    "    \n",
    "    # remember that similarity is 1 - topics_similarities\n",
    "    diversity = 0.0\n",
    "    for i in np.arange(num_topics-1):\n",
    "        for j in np.arange(i+1, num_topics):\n",
    "            diversity = (diversity + sum_i_j(i, j, topics_similarities, topics_docs_proba))\n",
    "    return diversity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2002 182 docs => 0.2786063655803975\n",
      "2003 357 docs => 0.28360887664402107\n",
      "2004 231 docs => 0.28100745699026036\n",
      "2005 224 docs => 0.27975202757732576\n",
      "2006 60 docs => 0.2541031830611217\n",
      "2007 19 docs => 0.2696159432748754\n",
      "2008 34 docs => 0.2685387236584775\n",
      "2009 64 docs => 0.2662600500336358\n",
      "2010 78 docs => 0.27893451171536565\n",
      "2011 55 docs => 0.2680211179084583\n",
      "2012 176 docs => 0.28342662056284\n",
      "2013 360 docs => 0.27597667543567195\n",
      "2014 504 docs => 0.28028702922536897\n",
      "2015 382 docs => 0.28107651619431573\n",
      "2016 183 docs => 0.28224579785333737\n",
      "2017 140 docs => 0.2812392071272172\n",
      "2018 66 docs => 0.28071829762338435\n"
     ]
    }
   ],
   "source": [
    "year = 2002\n",
    "data = df['text'].values.tolist()\n",
    "factors = []\n",
    "for position, value in enumerate(indexes):\n",
    "    if( position < len(indexes)-1):\n",
    "        idx_init = value\n",
    "        idx_end = indexes[position+1]\n",
    "        data_corpus = data[idx_init:idx_end]\n",
    "        corpus = prepare_data(data_corpus)\n",
    "        thematic_diversity_factor = compute_thematic_diversity(corpus)\n",
    "        print(year, len(lda_model[corpus]), 'docs =>', thematic_diversity_factor)\n",
    "        #print('Num documents = ', len(lda_model[corpus]))\n",
    "        #print(thematic_diversity_factor, '\\n')\n",
    "        year+=1\n",
    "        factors.append(thematic_diversity_factor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib.pyplot import ylim\n",
    "\n",
    "N = 17\n",
    "ind = np.arange(N)    \n",
    "width = 0.2       \n",
    "plt.figure(figsize=(6, 4))  \n",
    "\n",
    "val = 0.0\n",
    "indexes = []\n",
    "for i in np.arange(N):\n",
    "    indexes.append(val)\n",
    "    val += 0.3\n",
    "\n",
    "p1 = plt.bar(indexes, factors, width)\n",
    "\n",
    "plt.ylabel('thematic diversity factor')\n",
    "#plt.xlabel('community id')\n",
    "plt.title('Thematic diversity evolution (ANTT)')\n",
    "labels = ['2002',\n",
    "          '2003', '2004', '2005', '2006', '2007', '2008', '2009', '2010', '2011', \n",
    "          '2012', '2013', '2014', '2015', '2016', '2017', '2018']\n",
    "\n",
    "plt.xticks(indexes, labels, rotation = 90)\n",
    "ylim(0.22, 0.3) \n",
    "\n",
    "#ind_text = [-0.04, 0.25, 0.55, 0.85, 1.18, 1.45]\n",
    "#for i, v in enumerate(tbl_freq):\n",
    "#    plt.text(ind_text[i], v+1, str(v), color='blue', fontweight='bold')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Longitudinal Analysis for Twitter timespan compability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "index_2013_init = 1480\n",
    "index_2014_init = 1840\n",
    "index_2015_init = 2344\n",
    "index_2016_init = 2726\n",
    "index_2017_init = 2909\n",
    "index_2018_init = 3049\n",
    "index_2018_end = 3115\n",
    "\n",
    "indexes = [index_2013_init,index_2014_init,index_2015_init,index_2016_init,\n",
    "           index_2017_init,index_2018_init,index_2018_end\n",
    "          ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2013 360 docs => 0.2759835718349235\n",
      "2014 504 docs => 0.28040834408574167\n",
      "2015 382 docs => 0.28132960153643494\n",
      "2016 183 docs => 0.28206367763754947\n",
      "2017 140 docs => 0.2815273120725151\n",
      "2018 66 docs => 0.2779254533217401\n"
     ]
    }
   ],
   "source": [
    "year = 2013\n",
    "data = df['text'].values.tolist()\n",
    "factors = []\n",
    "for position, value in enumerate(indexes):\n",
    "    if( position < len(indexes)-1):\n",
    "        idx_init = value\n",
    "        idx_end = indexes[position+1]\n",
    "        data_corpus = data[idx_init:idx_end]\n",
    "        corpus = prepare_data(data_corpus)\n",
    "        thematic_diversity_factor = compute_thematic_diversity(corpus)\n",
    "        print(year, len(lda_model[corpus]), 'docs =>', thematic_diversity_factor)\n",
    "        #print('Num documents = ', len(lda_model[corpus]))\n",
    "        #print(thematic_diversity_factor, '\\n')\n",
    "        year+=1\n",
    "        factors.append(thematic_diversity_factor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib.pyplot import ylim\n",
    "\n",
    "N = 6\n",
    "ind = np.arange(N)    \n",
    "width = 0.2       \n",
    "plt.figure(figsize=(6, 4))  \n",
    "\n",
    "val = 0.0\n",
    "indexes = []\n",
    "for i in np.arange(N):\n",
    "    indexes.append(val)\n",
    "    val += 0.3\n",
    "\n",
    "p1 = plt.bar(indexes, factors, width)\n",
    "\n",
    "plt.ylabel('thematic diversity factor')\n",
    "#plt.xlabel('community id')\n",
    "plt.title('Thematic diversity evolution (ANTT)')\n",
    "labels = ['2013','2014','2015','2016', '2017', '2018']\n",
    "\n",
    "plt.xticks(indexes, labels, rotation = 90)\n",
    "ylim(0.27, 0.29) \n",
    "\n",
    "#ind_text = [-0.04, 0.25, 0.55, 0.85, 1.18, 1.45]\n",
    "#for i, v in enumerate(tbl_freq):\n",
    "#    plt.text(ind_text[i], v+1, str(v), color='blue', fontweight='bold')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
